Liste of accepted papers with abstract
ICRAES'18 Accepted Papers with Abstracts
Sliding Mode Control of a Five-Phase Series- Connected Two-Motor Drive
Abstract: In this work, we study vector control and sliding mode control of series-connected five-phase two asynchronous machines supplied with a three levels inverter. After presentation of multiphase machines, we worked out the mathematical model of five phase asynchronous machine supplied with voltage inverter. Application of Park transformation reduces considerably the mathematical model of machine. After, we applied vector control and sliding mode control to the five-phase induction machine. After that, we study a multi-machine system which comport five-phase two asynchronous machines supplied with a single voltage inverter.
In the last, we had the independent vector control and the sliding mode control of series-connected five-phase two asynchronous machines. We observe that an appropriate transposition of phase's order permits an independent control of two machines.
System for Diagnosis of Gastroparesis in Diabetic Patients
Abstract: Gastroparesis means "stomach paralysis". Gastroparesis is a digestive disorder in which the motility of the stomach is either abnormal or absent. In healthy people, the stomach normally contracts helps to crush ingested food and propel the pulverized food into the small intestine where further digestion and absorption of nutrients occurs. When Gastroparesis condition exists the stomach is unable to contract normally, therefore it cannot crush nor propel the food into the small intestine properly results in abnormal digestion. Diabetes is one of the most common causes for Gastroparesis. Gastroparesis can be diagnosed with tests such as x rays, manometer, and gastric emptying scans. The existing technologies include Gastric Emptying test, single or multi-channel Electrogastrography, PET and SPECT scan test for diagnosis. Thus, the existing technologies need to be improved for high resolution, low cost, more reliable & increased accuracy to provide more information for better diagnosis. In this project, we designed three different systems, acquisition of [multi-channel] Electrogastrography, analyzing the breath of the diabetic subjects and gastric emptying scan. Thus, the signal acquired from the multi channel Electrogastrography which is fed into MATLAB software for spectral analysis of the gastric signal. This Gastric signal provides useful information such as Myoelectric activity of the stomach muscle, gastric slow wave (gastric motility) in terms of Cycles per Minute (CPM). The system for Breath Analyzer is designed to analyse the amount of Acetone Gas present in one single forced breath of the subject. Gastric emptying scan done by mixing the radioactive isotope with subject's food, which the radioactive isotope starts to emit radiation from subject intestine will be measured. The system for radiation detection is designed to measure the gastric emptying rate of the subject. Based upon the digestion of food, there will be radiation emission in intestine. There will be no radiation emission, if the intake food is fully digested. The correlative results of the Gastric emptying scan, Breath Analyzer and Signal Analysis of the Multichannel Electrogastrography provides the accurate diagnosis of Gastroparesis condition and gastric emptying rate of the subject.
How to extract the discriminant information from eyes of an individual?
Abstract: In this paper, a dual iris authentication using Dempster Shafer theory and a dual iris identification system using support vector machine are presented. The proposed method consists of three main steps: In the first one, the iris images are segmented in order to extract only half iris disc that contains relevant information and is less affected by noise. The segmented images are normalized by Daugman rubber sheet model. In the second step, the normalized images are analyzed by a bench of two 1D Log-Gabor filters to extract the texture characteristics. The encoding is realized with a phase of quantization developed by J. Daugman to generate the binary iris template. For the authentication and the similarity measurement between both binary irises templates, the hamming distances are used with a previously calculated threshold. The score fusion is applied using Dempster Shafer rule. For the identification, the support vector machine is used as a classifier. The proposed method has been tested on a subset of iris database CASIA-IrisV3-Interval. For authentication, the obtained results give a satisfactory performance with accuracy of 99.95%, FAR of 0%, FRR of 6.10%, EER of 0.92% and processing time for one iris image of 12.37 s. For identification, the experimental results show a good performance with accuracy of 100% and processing time for one iris image of 23.78 s.
Traditional MPPT Algorithms Applied to Different Models of Photovoltaic System
Abstract: In renewable energy, solar energy has been found to be the most widely used. The devices used are known as solar panels, in this paper, we will study and simulate under Matlab/Simulink different models represented by solar panel based on a real type. We also refer to the use of maximum power extraction (Maximum Power Point Tracking "MPPT") and compare it with the real (datasheet) for different models. Results simulation shows that the general model presented by single diode, parallel resistor and series resistor give an approximate power to the real panel.
Control of Grid Connected Photovoltaic System
Abstract: The goal of using fossil fuel like oil, coal and natural gas emits nitrogen oxide and nuclear fission is production of electric power. But these types of energy directly causing of lung disease, polluting our atmosphere (soils and waters, damaging crops). For this reasons, the international organizations of conserving the environment and the ocean research a alternative source like renewable energy sources for electric power generation for example the wind ,solar panel, hydrogen and diesel ,etc . Solar energy is the most abundant, inexhaustible and clean of all the renewable energy sources till date. This paper focuses on the development of modeling and control of a grid connected PV arrays incorporating a full electrical storage devices and a powering DC-AC converters. A set of algorithms were developed and integrated for the hole PV power system components. In this work, we optimized the power injected by the PV generator to satisfied the needs of electricity and keep on the protections such us the battery working against together overcharge and deep discharge. The control strategies of this power energy is performed all around to Maximum power point tracking (MPPT) is used in photovoltaic (PV) systems to maximize the photovoltaic array output power, irrespective of the temperature and irradiation conditions and of the load electrical characteristics reach the maximum power. Moreover, implementation of a fuzzy logic controllers ensuring the best quality of power injected into the network. The simulation tests are carried out using Matlab environment. the significant extracted results verify the PV system obtained performances under standard testing conditions.
Robust Fractional PID Controller with Fractional Weights Selection for Pneumatic Manipulator Using Fminimax Optimization Technique
Abstract: In this paper, we propose the synthesis method of different robust fractional order PID controllers, which are synthesized from solving the constrained optimization algorithm for Pneumatic Manipulator and we analyzed uncertainty problems for the system of clamping force control on the condition that its model had been established. To oppose the uncertainty problems caused by many reasons, sensitivity method is mixed based on the control theory of H? and robust controller. Fractional order PID parameters are obtained by minimization a coast function (Standard H? problem) with MIN-MAX algorithm. The performances obtained are compared with those given by a robust H? controller using in the frequency domain and in the time one. The simulation results show that the proposed synthesis method outperforms the robust H? controller in terms of performance and stability robustness. It will be able to promote the application of pneumatic manipulator in the field of ultra-precision control.
Design of a Miniaturized Meandered Dipole Antenna with Defected Ground Structure for Passive UHF RFID Tags
Abstract: A new compact dipole antenna with octagon slotted ground plane has been presented for passive ultra-high frequency (UHF) radio frequency identi?cation (RFID) tag applications. The antenna with Rogers RO5880 substrate has a miniaturized size and a low profile. The overall tag antenna dimension does not exceed 31x31x1.575mm3 at the operating frequency of 915MHz. Various simulation results such as return loss, radiation pattern and voltage standing wave ratio (VSWR) are carried out and discussed.
Intelligent Approach for Speed's Tracking In a Recreational Electrical vehicle
Abstract: advanced techniques intended for systems control are proposed to overcome disadvantages of conventional technics. This present paper deals a study with an adaptive PI controller based on a speed tracking problem inside a leisure electrical vehicle using a switched reluctance motor. In fact, the framework of these works is the control of the power train of electric vehicles which is a great challenge to ensure driving comfort. As mentioned previously, the vehicle's performances are carried out using an established simulation platform implemented on Matlab-Simulink environnement.. the state -of the -art technics control leading to the improvement of systems performances gathered to found a required speed level with less torque ripple.
Fault diagnosis of rotating machines using Wavelet Packets Packets Transform
Abstract: Currently, monitoring the rotating machines is very central. The detection of defects avoids many problems. Because if the gear faults are not detected early, the health will continue to degrade, and maybe causing heavy economic loss or even human catastrophe. Many techniques are used for this purpose. Among these methods we find the vibratory analysis. The basis of the vibratory analysis is that to tray to obtain the signature of the defect in the characteristic of the vibratory signal. The complexity of the vibratory signal is his characteristic of non-linear, non stationary, and very noisily. Our objective is to propose a method to overcome these difficult. In this paper, we use the method of Wavelet Packets Transform (WPT) as a way to search for signatures of the defects to be used for overseeing the bodies of a rotating machine, such as gears.
New Control Strategies for Greenhouse Ventilation Systems
Abstract: This paper contributes to the modeling and controlling of the ventilation systems of greenhouses using fuzzy logic controller (FLC). Design of the fuzzy logic controller requires many design decisions, fuzzification, for rule base
and defuzzification, during implementation. This paper describes the design decisions related to two fuzzy logic controllers devoted to a two type of ventilation systems. Those two controllers were investigated with the
help of MATLAB / SIMULINK. Using those fuzzy logic controllers for ventilation systems were successful.
Detection and Classification of Power Quality Disturbances using S-Transform
Abstract: A method for various power quality (PQ) disturbances detection and classification based on Stockwell's transform (ST) and a rule-based decision tree (RBDT) is presented in this paper. The features of signals are extracted based on ST from the time-frequency analysis. The high performance ef?ciency of classi?cation is done using ST with rule-based decision tree. Several power quality disturbances are addressed with single and combined disturbances include spike, ?icker, oscillatory transient, impulsive transient and notch. The accuracy and robustness of the detection and classification method of PQ disturbances with and without noise conditions are shown from the results. The performance of proposed algorithm comparing with other reported studies is perfect.
Modeling a Grid Connected VSC for Improving the Power Quality
Abstract: The integration of the distributed generator (DG) with the network produce many disturbances such as harmonics and the increase of total harmonic distortion (THD), and this increase by using a voltage source converter and switching analysis, those harmonics increase the ripple in the system signals and affect the total network power quality (PQ) indexes, in a way increase the cost and the size of filtering devices. This paper introduce a methodology to eliminate these harmonics which produced by integration of the DG to the grid, and study the harmonic domain of the network to model the system in the harmonic domain in a way to find the best design of the DG unit filter, and a design for the controller parameters enhancing the network performance and reducing the equipment cost, size and rating. The design was made by analyzing the nonlinear square method to solve for the optimum design, and a validation made in time domain using SIMULANK/MATLAB for a case study.
Solving Dynamic Load Economic Dispatch Using GAMS Optimization Algorithm
Abstract: The growing demand of electric energy, scarcity of energy resources and increasing power generation cost imposes optimal economic dispatch in power systems operation. Dynamic economic load dispatch is the short-term determination of the optimal output of a number of electricity generation facilities, to meet the system load, at the lowest possible cost, subject to transmission and operational constraint. This paper presents an effective and reliable technique for solving the economic load dispatch problem using (GAMS) software. A 20-generator electric power system case study with transmission losses and generator ramp rate limits over 10 hours of variable load was used to evaluate the (GAMS) performance.
Implementation of Remote Self-Tuning Fuzzy PID Controller for Induction Motor Through Ethernet
Abstract: Abstract -Due to the non-linearity, complexity and time-varying dynamics of the Induction motor, therefore conventional controllers such as proportional-integral-derivative (PID) controller cannot ensure speed step response specifications in all speed range. This paper presents self tuning fuzzy PID (STFPID) controller to improve speed control of high speed three phase induction motor. the Mamdani Method fuzzy logic controller (FLC) tunes only the PID gains separately and the structure of the PID is not altered. In this paper, a two inputs and three outputs self adapting fuzzy PID controller was designed to control the speed of induction motor drive. The programmable logic controller (PLC) type Siemens Simatic S7-300 dominates the control system and the real time data communication between the PLC and personal computer (PC) using third party software like LabVIEW is realized using OLE for Process Control (OPC) server. Fuzzy logic is developed using fuzzy toolbox available in LabVIEW and OPC server fetch data from the OPC server. The proposed method can be used to realize data process and advanced control to improve the quality of the whole control system. The experimental results demonstrate that the remote STFPID controller (FLC is PC based and PID PLC based) has better performance in both transient and steady state response when compared with conventional PID controller in both PLC and PC modes.
Real-Time Detection and Classification for Voltage Events Based on Wavelet Transform
Abstract: A new technique for real-time Power Quality (PQ) disturbances detection and classification based on wavelet multi-resolution analysis (MRA) is presented in this paper. The detection of start time, end time and duration of PQ event is based on the finest detail level of MRA, while the classification of the event is based on the coarsest approximation level of MRA. LabVIEW platform has been used to implement the proposed technique in a laboratory setup. Several voltage events: interruption, swell and sag have been generated to test the performance of the proposed technique. The experimental results demonstrate the superiority, accuracy, and robustness of the proposed method in detection the details of the voltage events as well as the event type classification. The effectiveness, accuracy and robustness of the proposed technique in detection and classification of the PQ events have been demonstrated by the experimental results. Moreover, the proposed technique shows a significant reduction in execution time with less complexity compared to the conventional methods, for that the proposed technique is more suitable for online detection and classification applications.
Improved DTC-SVM Control of Single VSC Based DFIG using Fuzzy Logic Techniques
Abstract: Drawbacks related to basic DTC are large torque rotor flux ripples and sluggish transient response. To avoid above problems several methods can be used, one of the method is Space vector Modulation (SVM). Nowadays SVM are used widely, it has advantages like reducing, torque and flux ripple and maximum utilization of DC bus.
In this paper the space vector modulation technique is used for direct torque control of two-level voltage source converter .In the first scheme of DTC-SVM we use two hysteresis comparators which deliver the level of errors used by a look-up table to calculate the voltage vector angle .Torque and flux errors are used to obtain the amplitude of the voltage reference vector.
in second scheme, we propose the use of a fuzzy logic estimator to calculate the voltage reference vector amplitude whose position is chosen with the same look-up table .Simulation results of a 1.5 kW DFIG system are presented to demonstrate the performance of the proposed control strategy under steady state and dynamic changes in torque.
Influence of the Ground Stratification on the Electric Fields Waveforms Calculated by the 3D-FDTD Method in the Case of Lightning Strikes to a Tower Placed on a Mountain
Abstract: This paper presents an investigation on the effect of the presence of a vertical stratified ground on the electric fields associated with lightning strikes to a tower placed on a trapezoidal mountain. Thus, the three dimensional finite difference time domain (3D-FDTD) method, based on Taflove formulation to solve Maxwell's equations, is applied for the electric fields computation. Furthermore, the lightning channel and the tall tower are represented by the transmission line model extended to include a tall strike object. Two kinds of ground are considered, the first one is a finite conductivity homogonous ground and the second one is a vertical stratified ground composed of two layers having different values of conductivity. Electric fields are calculated at different points located on the mountain and on the ground. Fields calculated at points situated on ground without change of the conductivity values are not affected by the stratification, but those obtained for the ground with change of conductivity are significantly affected by the presence of the stratified ground.
Electrochemical Impedance model of PEM Fuel Cell using EIS Spectrum Analyser
Abstract: This paper deals with the modeling of the
impedance of a PEM fuel cell. This work is based on the
experimental measurements proved by the actual stack. The
model of the fuel cell describes the phenomena by a complex
impedance specific to each cell. This model is given in the
form of mathematical equations describing model
nonlinearity. The frequency behavior of the impedance model
of the fuel cell using the spectroscopy method. We used the
"EIS Spectrum Analyzer" software to visualize the influence
of different electrochemical components in the frequency
Faster Identification for Unplanned Outages from Huge Unstructured Smart-Grid Messages taking Leveraging UIMA-AS in Spark
Abstract: As the analysis of large amounts of unstructured data is gaining a major space in enterprise computing, we are seeing the emergence of more use cases in this regard, however the underlying the success of Big Data relies on effective usage of content analytics of the underlying unstructured data. Researches confirms that two factors  have a direct impact on the difficulty of the task of a standard (Natural Language Processing) NLP tool; the most important is the domain vocabulary to be treated and secondly the wealth of explanations. Therefore, unstructured data are used increasingly in decision-making processes. But although decisions are commonly based on unstructured data, information quality assessment methods for unstructured data are lacking. In this contribution, we present a flexible approach for handling unstructured data as part of a regular (Unstructured Information Management Architecture) UIMA pipeline. The approach involves generic UIMA-AS (Asynchronous Scaleout) components that can be adapted to specific NLP tool for identifying unplanned outage from a rising amount of outage messages; the need for such a tool is growing fast in smart-grid domain which is considered among the leaders producing unstructured data.
Vector norms approach and aggregation techniques to synchronize discrete-time hyperchaotic maps
Abstract: Throughout this paper, an original synchronization form is proposed for a class of discrete-time hyperchaotic systems. The new studied scheme of synchronization presents an extension of the multi-switching one to the combination synchronization, for which, the state variables of two driving systems synchronize with different state variables of the response system, simultaneously. With that in mind, at the outset, a theoretical approach for nonlinear control, using aggregation techniques associated to one specific characteristic matrix description, namely, the arrow form, is used. Then, the feasibility as well as the performance of the proposed approach of multi-switching combination synchronization is checked through numerical simulations.
DTC-SVM of DSIM via a Fuzzy Logic Controller for Speed Regulation
Abstract: The paper presents the Direct Torque Control with Space Vector Modulation (DTC-SVM) of Double Star Induction Motor (DSIM) with Fuzzy Logic Speed Controller. The induction machine has two sets of stator three-phase windings spatially shifted by 30 electrical degrees. The DTC-SVM has many advantages over the conventional method such as minimizing and reducing torque pulsations. In order to achieve high performances in term of fast dynamic speed response and best disturbance rejection, Fuzzy Logic Controller (FLC) is used for speed regulation.
A genetic algorithm for characteristic points matching of two different faces
Abstract: Facial expressions transfer from a source mesh to the geometry of the target mesh requires the knowledge of a certain number of common points on each mesh, which will be the characteristic points. Each characteristic point of a mesh must have its counterpart on the other mesh. For example, the point defines on the corner of the right eye on the source mesh must have its homolog placed in the same place on the mesh target. The matching is a key step in different applications, mainly in three-dimensional reconstruction, where it consists in locating in two images the projections of the same points of the observed scene. It is also an important step in the transfer of facial animations, where it is necessary to make the correspondence between the feature points of two different faces. We are interested in the problem of locating control points on a target face by matching the feature points of an expressive face. To solve this problem, we used an evolutionary algorithm, which is the genetic algorithm.
Robust control design for a class of nonlinear distributed time delay systems
Abstract: This article is dedicated to the conception of a
new control law which stabilizes some nonlinear systems with
distributed input delay. The main idea consists to use a new
technique for construction of Lyapunov Krasovskii functional
inspired by a new reduction model approach. We stabilize
globally uniformly exponentially the origin of the considered
system. Morever, we use the Lyapunov-Krassovskki functional to
get robustness properties in presnce of uncertain additif terms.
We illustrate our construction using a numerical example.
Contribution to the study and economic energy sizing of photovoltaic systems
Abstract: This paper presents a graphical interface to help the energy and economic sizing of photovoltaic systems connected to the electrical network. This tool named "SOPVSplus" is designed and developed by the Matlab/Simulink. It presents a tool allowing an easy and comfortable usage for the eco-energetic design and evaluation of a PV panel. Through a guided sizing methodology, it offers a wide range of choice of components of a PV system. It enable the calculation of the number of photovoltaic modules, solar inverters and various electrical quantities used to satisfy the electrical power demanded by the load. Furthermore, this tool proposes recent equipments for the realization of system that includes all the technical characteristics, the cost of the watt-peak and the expenses of setting up the whole system. An energy and economic balance of the sized photovoltaic system will be automatically generated. This computer tool has been added to software used to popularize photovoltaic systems thanks to its interactive graphical interface, flexibility and ease of use.
A Web Service-Based Tutoring Tool for eLearning Platform
Abstract: In this article, we focus on the tutoring aspect of e-learning systems. The idea is to offer and make available a web service that is not an integral part of the e-learning system, but remains independent as a web service, this independence allowing it to extend any e-learning platform with the tutoring function. This service has been designed to meet SOA requirements in terms of autonomy, reuse, interoperability and remote access.
Offering the tutoring aspect as an independent service allows the different existing platforms without this functionality to benefit from it without making major changes to the code, especially since SOA standards allow easy communication between heterogeneous platforms developed in different languages and systems.
In order to validate our approach, we developed and tested the tutoring web service. It is a tool that allows the tutor to closely monitor the progress of each learner in his studies, in his collaboration and in his different interactions with other learners and with the tutor. Many other statistics through this web service, which allows the tutor to have an idea about the seriousness of the learner and to predict the risk of dropping out of courses.
Energy Modeling Output of Wind System Based on Wind Speed
Abstract: Among different renewable energies, wind energy plays an increasing role in the supply of energy world wide. The energy output of a wind farm is highly dependent on the weather conditions present at its site. If the output can be predicted more accurately, energy suppliers can coordinate the collaborative production of different energy sources more efficiently to avoid costly overproduction. In this paper, we will present the modeling and simulation of three types of different wind models with the complete system and selected the correct model.
Open-circuit fault diagnosis in four-switch three-phase inverter fed induction motor drive
Abstract: In recent years, four-switch three-phase inverter (FSTPI) are currently utilized in an enormous industrial applications such as renewable energy conversion systems and speed electric motor drives. However, the reduced structure FSTPI is sensitive to several kinds of faults. Accordingly, this paper presents a simple diagnostic method of IGBT's (insulated gate bipolar transistors) open-circuit faults in FSTPI fed IM (induction motor) drives. The proposed diagnostic method is simple and just requires the motor phase currents avoiding the use of another additional sensors and hardware. This means that the system complexity and costs decrease and the integration into the control system is easy. To achieve better dynamic performance, the direct RFOC (rotor flux oriented control) strategy is applied to the four-switch three-phase inverter to control the IM mechanical speed. Furthermore, the simulation results shows the diagnostic method performance and robustness under distinct operating conditions.
Experimental validation of the robustness of super-twisting control for Induction motor of Electric vehicle
Abstract: In this paper, a robust speed controller based on 2-SMC is developed for the induction motor. This approach guarantees the robustness and dynamic performance than the traditional first-order SMC algorithms, and simultaneously reducing the chattering phenomenon, which is the main drawback in the implementation of this technique. A mathematical model of the induction motor is selected and presented. The control problem is formulated and each part of the controller is presented, also including how required, but immeasurable, functions of the motor state are estimated. The objective is to improve control performance at very low speed in presence of load torque perturbations and parameters variations. Simulation and experimental results are presented in order to validate the effectiveness of the proposed technique. Even more, it serves to show the performance of second order sliding mode control for an induction motor drive system.
REDUCED-SIZE MICROSTRIP PATCH ANTENNA FOR WIRELESS APPLICATION
Abstract: This paper presents a novel reduced-size
microstrip patch antenna for Bluetooth/WiMAX applications.
The miniaturization of the proposed antenna is achieved by
inserting in the ground slots to obtain dual band operation. This
antenna has a compact size of only 25×25 mm2 and fed by a 50
?-micro strip feed line. The multiband slot antenna is studied
and designed using CST Microwave Studio software. The
simulation results on the fundamental antenna parameters such
as return loss and radiation pattern meet the acceptable
Optimal Tuning Method of decentralised Fractional PI Controller for TITO Process using Diffusive Approach
Abstract: This paper presents an optimal tuning method of decentralized fractional PI controller for two-input two-output (TITO) process. The process is transformed into two independent SISO systems by introducing a decoupler. The optimum value of the controllers parameters are given by minimizing performance index criterion. The diffusive realization of the fractional operator allows to formulate the optimization problem as a function of fractional order.
An example of application are presented to show the effectiveness of the proposed method in comparison with classical controllers.
Improved Dynamic Harmony Search optimization for Economic Dispatch problems with Cubic Cost Function
Abstract: The economic load dispatch problem aims to schedule power outputs of the generating units to meet the system load demand at minimum cost while satisfying the equality and inequality constraints. In this paper, we applied a novel variant of harmony search algorithm (HSA) based on parameter setting, named improved dynamic harmony search algorithm (IDHSA) to obtain accurate optimal dispatch results using cubic cost function. In IDHS algorithm, the key difference from the conventional HAS is that bandwidth (BW) operator change dynamically at every iteration. The IDHS algorithm is tested with two different cases of power systems without and with transmission losses. The simulation results prove that the IDHS algorithm is more operative in determining the optimal solution compared than others optimization methods reported previously in the literature.
DC-Bus Voltage Control of PWM rectifier and Performances Analysis
Abstract: The work presented in this paper suggest , mainly to the application of the Direct Power Control for three phase voltage base pulse with modulation rectifier. This makes it possible to efficiently control the active and reactive powers and even to ensure zero reactive power and therefore unity power factor. This considered control ensures excellent dynamic performances. The performances of the converter are evaluated using Matlab/Simulink. Simulation results show the effectiveness of the proposed system, especially, zero reactive power and the good regulation of output DC bus voltage.
Fuzzy Control of a Power System Under Random Disturbances
Abstract: Nowadays, power systems are increasingly becoming extremely complex topology making the task of electric power operators rather delicate. Indeed, guaranteeing the stability of these systems, based on converters and different types of electrical machines, on the one hand, and the response to the growing needs of energy by consumers on the other, point to serious difficulties which faces the operators of these systems, precisely the large electrical networks. These difficulties are accentuated considerably during the phases where these power systems are impacted by perturbations with random characters which systematically require an instantaneous identification of their components on the one hand and their ranges of variation on the other hand. In other words, the major problem is the approach taken to identify the main components of this type of disturbance. A better approximation of the margins of variation of the dynamic components of these disturbances which are likely to affect the power systems leads to the guarantee of a relative stability of these systems. To this end, we have focused mainly on the identification and evaluation of the dynamic components of these perturbations.
Optimal Design of Permanent Magnet Generator for Wind Turbine Application
Abstract: This paper focuses on optimal design of low-speed Permanent Magnet Synchronous Generator (PMSG) for wind energy applications. An analytical model based on the resolution of the Maxwell's equations using the separation of variable method is presented and used in the optimal design procedure in order to reduce the total weight and power loss of the designed 2 kW PMSG. Then, Grey Wolf Optimizer (GWO) method is employed to optimize the above objectives with the respect of different constraints (maximum electromagnetic torque, maximum electromotive force, flux density saturation in stator/rotor yoke and saturation in stator tooth).
A comparative study of different multi-level inverters applied to the electric vehicle system
Abstract: In this work, we propose an electric vehicle system based on the rotor-field-oriented control of the induction motor. This article studied one ten appearing between the various inverters types, in order to find best adapted to the electric vehicle system. These inverters are basically the classical inverter, the H-bridge inverter and the Neutral Point Clamped (NPC) inverter. Thus, the difference between the voltage levels of inverters, such as three levels and five levels. Two orders used the method of the pulse width modulation (PWM), which are the PDC-PWM technique (Phases Disposition Carrier- PWM) and the PSC-PWM technique (Phases Shifted Carrier- PWM). The main purpose is to select the inverter that makes the system stable, effective and minimize energy consumption. An important attention is directed towards the total harmonic distortion THD reduction and energy management. MATLAB/Simulink is used to compare the nine inverters outcomes. And to choose the best inverter implemented to the suggested system.
New Intelligent Strategies for Development of a Diagnostic Software for Electromechanical Systems (NISDDSEM)
Abstract: Nowadays, the tasks performed by
electromechanical systems became more and more complex,
and their topologies continue to be complicated. To assign a
certain efficiency and That a continuity of service of these
systems, the research teams have focused in recent years to
new diagnostic strategies to identify affected components or
even likely to be impacted by defects more or less serious.
This work represents an intelligent approach of a diagnostic
CRLH Resonator Loaded on Electromagnetic Sensor For Liquid Mixture Application
Abstract: A high sensitivity sensor loaded with CRLH resonator (composite right left hand) for liquid mixture applications is investigated in this paper. The sensor is characterized by compact dimension 0.12 ?o×0.05 ?o, substrate based on FR4 epoxy, very short testing surface 0.045 ?o×0.025 ?o, Very high sensitivity. The operating frequency is from 1.2 GHz and 1.8 GHz. The sensor is designed and simulated using HFSS, three types of liquid are tested; methanol, ethanol and distilled water, the obtained results are very promising compared to the literature.
Intelligent Petri Type 2 Fuzzy Direct Adaptive Control for Uncertain Nonlinear Systems
Abstract: In this paper, we develop an Intelligent Petri Type 2 Fuzzy Direct Adaptive Control for Uncertain Nonlinear Systems. a Petri Type 2 Fuzzy Neural Networks (PT2FNN) are used to generate directly the control law without using the estimated model of the nonlinear System. The PT2FNN able to approximate the adaptive control law and ensured the desired behavior of the closed loop system with high accuracy, minimum cost and global stability. The stability of the closed loop using the developed control law was achieved and proved. The parametric adaptation algorithms are derived. A comparative study by simulation was performed between the developed Intelligent Direct Adaptive Control and a fuzzy adaptive control. The presented simulation results for the two dynamic systems ( the inverted and rotational Pendulum systems ) showed the superiority of the proposed control scheme over the fuzzy adaptive control.
Simulation of Advanced STATCOM for Voltage Swell Mitigation in Large-scale Test System based on Swarm Intelligence Algorithms
Abstract: This article investigates the effect of new introduced Advanced STATCOM device on critical power quality issue namely voltage swells over large-scale transmission networks from the mitigation effect point of view. The main idea of new Advanced FACTS devices is that, constant values of inductance, capacitance, and PI controller gains in conventional FACTS were replaced by variable values to mitigate different magnitudes of voltage swells. Most recent optimization techniques are used and compared to Particle Swarm Optimization in order to determine the best values of the variable parameters in each case. The performance of the proposed method was tested on large-scale IEEE 118 bus system using PSCAD/EMTDC software connected to MATLAB software. The results show significant enhancements in steady-state and dynamics performance of the grids by using Advanced FACTS devices as compared to conventional FACTS.
Design improvement of an in-Wheel machine for electric vehicle based on multiobjective algorithms
Abstract: In the present paper, we have discussed the improvement design of the geometric dimensions of a synchronous permanent magnets machine with an exterior rotor and concentrated windings dedicated to an in-wheel electric vehicle motor. This optimization has been done according to three objective functions which are: the efficiency maximization, the mass minimization and the torque ripple minimization, and also according to certain imposed constraints. For that, we used five multiobjective algorithms belonging to evolutionary algorithms and particle swarm optimization. The optimization results of these algorithms are presented and compared according to several criteria, namely: the capacity of resolution, the preservation of diversity, the Pareto dominance of solutions and the execution time.
Comparative study of three MPPT techniques for PV system
Abstract: Since its free availability, Photovoltaic (PV) energy has become an increasingly important form of renewable energy. In fact, various techniques are used to increase the efficiency of PV generator by tracking its maximum power point (MPP) at any time and any weather conditions. This paper, presents the design and simulation of MPP tracking (MPPT) using Matlab Simulink, and is based on three techniques which are Perturb and Observe (P&O) algorithm, Fuzzy Logic Controller (FLC) and Artificial Neural Network (ANN) algorithm, then makes a difference between these three methods and finally shows that ANN gives the best results in term of convergence speed and performance for the steady oscillation around the MPP.
Comparison of different types of generators in wind turbines
Abstract: The penetration of wind power energy systems has been increasing rapidly all over the world during the last few decades. Because of her important role as permanent clean energy source, it is the subject of future energy projects in many countries.
In this paper, we present a general view of the penetration of wind power all over the world. The different designs of the wind turbine such as vertical axis and horizontal axis wind turbine are presented. We defined a classification and a comparative study of different generators of wind systems in order to choose the generator with the best performance to utilize in a high-power wind turbine
Sizing and Determination of Fuel Consumption and Gas Emissions in a Series Hybrid Electric Vehicle
Abstract: In order to reduce fuel consumption and harmful greenhouse gas emissions, automakers are seeking to develop new, eco-friendly vehicles such as the electric and hybrid vehicles. This article focuses on the series hybrid electric vehicle (SHEV) as a means of transportation that harbors promising potential for minimizing environmental problems. The purpose of the present paper is to develop an SHEV powertrain by sizing components, followed by a comparison of gas emissions and fuel consumption. This involves calculating the power specifications of the components according to the dynamics of the vehicle. The sizing was followed by a comparison of fuel consumption and gas emissions for an SHEV and conventional vehicles in urban and highway driving cycles. Simulation of the SHEV was performed by means of the ADVISOR software. The simulation results were reported and discussed. Finally, some conclusions were drawn and some prospects for future work proposed.
Efficiency improving of a static converter using a cooling system for semiconductors
Abstract: With the continuous increase in the power
dissipated by components and electronic systems, the power
electronics market needs a more robust and reliable cooling
system. We present in the first part the operating principle of
a cooling system. Next, we describe the simulation results
(with Pspice software) and compare them with those
obtained without a cooling system. Finally, we present the
improvement obtained when adding a cooling system in a
Finite Element Studies on the Permanent Magnet Machine with and Without Inserted Tooth- Electric Vehicles Application
Abstract: Researches on electric vehicles are increasing along these last years with the purpose of expanding car's range and so its power which leads to a rise in the number of poles and slots of the electric machine. In this paper, several types of machines dedicated to electric vehicles traction are presented followed by the choice of the suitable machine fulfilling the vehicle specifications.
In a second place, we will propose an analytic sizing of the chosen PMSM presenting the geometric and the electromagnetic sizing. A study of the machine's losses is also presented.
A model using 2D finite element method and Matlab is presented to study the numerical sizing of the machine. In this article, we will validate the proposed sizing approaches by comparing the analytical and the numerical results then we will focus on the comparison between machines with and without inserted tooth.
Fuzzy Logic Based Direct Matrix Converter Controlled Induction Motor Drive under Distorted Input Voltage Conditions
Abstract: This paper presents the use of direct space vector modulation based on the fuzzy logic controller to achieve desired output performances of matrix converter. The space vector modulation algorithm using a space vector representation of the currents and the voltages is proposed. This algorithm improves the waveform of the output voltage and current. The voltage transfer ratio is controlled by the fuzzy logic algorithm with change of different steps. In this case the output current is improved the output current. The performance analyses of the induction motor drive are discussed and tested with different torque levels. We can see that the use of the fuzzy logic controller in the closed loop reduces the overshoot at the starting regime and maintains the reference speed when running with load torque. Simulation results are presented to prove the effectiveness of the proposed system.
Analysis and enhancement of unbalanced standalone DFIG based WECS
Abstract: The analysis and the proposition of a new and practical method for enhancement of unbalanced standalone Doubly Fed Induction Generator (DFIG) based Wind Energy Conversion System (WECS) is detailed in this paper. To maintain the Voltage Unbalance Factor VUF on the stator side to reasonable values of the order of 1-2 %, an auxiliary three-phase voltage system is injected on the rotor side of the DFIG which RMS value and phase are adjusted to compensate unbalance of the stator voltage. The three-phase model of the DFIG inducing by six first-order differential equations model is adopted in this paper. Simulation results prove that the proposed strategy can maintain VUF under 0.02 for strict limits of unbalance.
Induction Motor Bearing fault diagnosis Based on Wavelet transform and Gaussian Mixture Models
Abstract: In this paper, a novel method for bearing induction motor bearing fault diagnosis based on wavelet transform and Gaussian mixture models (GMMs) is proposed. This work based on multi-resolution analysis used for reconstruct the analytic vibration signal of bearing fault. We consider here the Haar Wavelet, after having created functions that effectuate multi-resolution analysis and synthesis using these wavelets. This algorithm allows reconstructing the signal from the last level of approximation and all details. There by, making the classification task for three classes of bearing faults using Gaussian mixture models (GMMs) classifier. This method has been applied on the vibration data of a 5.5-kW induction motor test bench.
Recognition of Handwritten Arabic literal amounts Using Neural Networks
Abstract: We present a recognition system for Arabic handwritten script dedicated to the automatic reading of the literal amounts of checks written in Arabic. For this purpose, we present a new set of features for the characterization of the check amount words. The developed system hinges on four distinct modules: Acquisition, preprocessing, feature extraction and recognition (classification and decision). The latter is an artificial neuronal networks based classifier. The results obtained on the used database are satisfactory and very encouraging.
Ear recognition using textural structure descriptor representation
Abstract: This paper presents a novel representation for ear recognition that introduces a new features based on textural structure of human ears. Extracting effective features is a fundamental issue in ear representation and recognition. The proposed representation method is called Discriminant Local Dual Cross Pattern (D-LDCP). The recognition accuracy can be enhanced by the following steps. Firstly, the local dual cross patter is used to capture the textural structure information in ear image. Secondly, the spatial pyramid histogram of horizontal decomposition is applied to obtain local ear feature descriptors. Next, the histograms obtained are normalized. Then, the global representation of the ear image is obtained by concatenating all histograms calculated at each level. After that, the discriminant representation of ear image is constructed, using whitened linear discriminant analysis. Finally, the k-nearest neighbor is used for ear identification. Moreover, experiments are conducted on two ear databases: IIT Delhi-1 and IIT Delhi-2. Results show that, the proposed approach provides a significant performance improvement compared to the recent approaches in terms of accuracy.
Enhanced face recognition under varying conditions using a Weber-Face combined with local phase quantization
Abstract: This paper proposes an enhanced face identification system under varying conditions. This is achieved through following steps. First, the WF method is applied to reduces, as possible, the effect of the illumination from the input face image. Second, the resulting image is divided into non-overlapping region. Thirdly, the local texture descriptor, which is the Local Phase Quantization (LPQ) is separately applied at each region. This descriptor is chosen due to his discriminative power as well as its robustness against local facial changes. The proposed system is applied on both public databases: Extended Yale B and the AR databases where its recognition accuracy is compared by those of the recent existing methods. The obtained results confirm the superiority of the proposed method than the existing methods.
Analysis of Effective Mode Area and Nonlinear Characteristics of a Photonic Crystal Fiber with Finite Element Method.
Abstract: In this paper, confinement loss in hexagonal lattice Photonic Crystal Fiber (PCF) has been investigated, using COMSOL Multiphysics based on Finite Element Method (FEM). The proposed structure consist of four circular air holes rings, where three circular air holes near the core are replaced by elliptical air holes, which have a major and minor diameter. The Confinement loss was studied in term of minor diameter and wavelength in the range of about 1200-1800 [nm]. We realized that the rise of minor diameter lead to decreases of imaginary part of effective index and therefore the confinement loss reduces. Furthermore the variations of various fiber parameters like effective refractive index, non linear coefficient and effective area with respect to wavelength are also investigated.
Control of DFIG based wind turbine Connected to Grid
Abstract: This paper presents study control for a doubly fed induction generator based wind turbine connected to the grid. Rotor side converters control to provide independent control of active power and reactive power exchanged between the stator of the doubly fed induction generator and the grid for wind turbine system is developed. Simulation results which assure the effectiveness of the proposed control is presented. simulated in the Matlab/Simulink software
Economic-Emission Load Dispatch Using Particle Swarm Optimization
Abstract: The economic-emission load dispatch (EELD) of thermal units by means of particle swarm optimization (PSO) algorithm is proposed. The EELD is formulated as a bi-objective problem including the fuel cost and polluting emission of generating units. The bi-objective optimization problem is converted into a single objective function incorporating a price penalty factor. A simultaneous research of minimum total generation fuel cost and the toxic gases emission when satisfying the load demand and some constraints is carried out. The proposed PSO algorithm has been implemented on Algerian network. Two case studies are evaluated. The first one consists of 59 bus and 10 generators. The second one consists of 114 bus and 15 generators. A comparison with other algorithms reported in the literature shows the effectiveness of the proposed EELD to evaluate polluting effects and to motivate promoting clean energy as well.
Starting of a wind system in isolated mode
Abstract: Wind power is one of the cleanest and safest of all the renewable commercial methods of generating electricity. However, wind energy is difficult to use due to its stochastic variability. Energy storage can overcome the main drawback .This article consists on studying a wind starting system based on DFIG and operating in isolated mode. This system is formed by a bank of batteries and a bidirectional DC/DC converter charging a DC bus voltage as well as these batteries. The control of this system required a cascade control such control needs two loops; the inside loop to control the inductive current and the outside one for continuous voltage bus. The theoretical study of this command has been validated using PSIM software.
Design and Optimization of Platinum Micro-Heaters for Gas Sensor Applications
Abstract: This paper presents the design, simulation and electrical and thermal analyzes of Platinum micro-heaters for sensor applications in order to optimize the heater dimensions. The uniform heat distribution and optimization of power consumption for the micro-heaters were performed. In order to assess the most efficient layout geometry in terms of power consumption, a novel design for semiconducting metal oxide (SMO) gas sensors with different shapes and sizes has been investigated. Therefore, finite element method analysis, in COMSOL Multiphysics software, has been used. initially and in order to validate our model, we made a comparison between our simulation results and the experimental results of , the results show a reduction of power consumption by more than 10 watts compared to the experimental results. in a second time, several simulations have been established to keep the best homogeneity along the active zone of our gas sensor design studies, in order to improve temperature homogeneity.
Sliding mode control for step-up DC/DC Converters for Photovoltaic Applications
Abstract: This paper deals with the efficiency optimization for
a stand-alone PV system. An ideal model of a PV solar cell is used
in which the research of its unknown internal parameters is made.
For obtaining high voltage transfer gain at the output of the PV
chain, a step-up DC/DC converter is required. Three topologies
are discussed in this papers which are the Boost structure, the
two stage of Positive Output Cascade Boost (POCB) converter
and the Super Lift Boost (SLB) structure. The design, modeling
and sizing of passive components of each structure is presented.
A comparative study of the three studied converters is made
in terms of the output voltage transfer gain and the efficiency
behavior. A great necessity of optimizing the efficiency appears
as a result of the nonlinearity of the PV generator operations. To
achieve the maximum power point (MPP) delivered from the PV
panel a sliding mode control approach (SMC) is presented and
discussed in this works. Simulation results verified the validity
and the effectiveness of the controller under changes of climatic
Elman Neural Network Control Strategy For a Photovoltaic System
Abstract: For an efficiently use of the photovoltaic energy
as well as for the energy supply optimization, an effective
control strategy is highly needed. Therefore, this paper proposes
an intelligent control method for an energy generation system
composed by a solar panel, a DC-DC converter and a lead-acid
battery storage system. Firstly, a dynamic modelling of different
electrical energy components has been carried out. Then an
online Elman Neural Network (ENN) based controller has been
designed and developed in order to perform the tracking of the
optimal operating point of the solar source. Simulation results
confirm the efficiently of the adopted control scheme.
Optimizing Design and Simulation of Planar Transformers Based on Litz Wire Structure
Abstract: A new trend in power converters is to design planar transformer that aim for low profile. However, at high frequency, the planar transformer ac losses become significant due to the proximity and skin effects. In this paper, the design and implementation of a novel planar litz conductor is presented in order to equalize the flux linkage and improving the current distribution. The developed PCB litz wire structure minimizes the losses in a similar way to the conventional multi stranded litz wires. In order to further illustrate the eddy current effect in different arrangements, a finite-element analysis (FEA) tool is used to analyze current distribution inside the conductors. Finally, the proposed planar transformer has been integrated in an electronic stage to test at high signal levels
Vibrational properties and luminescence of Ge layers grown on porous silicon
Abstract: Using Fourier transformed infrared spectroscopy (FTIR) and photoluminescence (PL), vibrational properties and luminescence of different samples of Ge layers deposited on Porous silicon (Psi) are investigated and interpreted. FTIR spectra of the Si1-xGex layers depend strongly on the Ge content and indicated a partial replacement of, the Si-O-Si asymmetric stretching modes by Ge-O-Ge stretching modes and the Si-Hx by Ge-Hx modes.
The peaks of PL are situated between 600 and 750 nm, which correspond to a red emission. However, the PL signal increased in intensity with the growth of Ge on PSi. This behaviour is due to the quantum confinement of Si nanocrystals on PSi and the presence of the Ge layer.
FTIR measurement confirmed the observed PL from PSi, which is due to the presence of surface confined molecular emitters (siloxene). This structure could be used as relaxed pseudo-substrate in nanotechnology.
PID Parameter Optimization by using Ant Colony Algorithm on FEM of Induction Motor
Abstract: This paper presents proportional-integral-derivative controller (PID) is designed and it is tuned by ant colony optimization (ACO) method for pulse width modulation (PWM) control of induction motor (IM) for ameliorate the speed signal, which is applied to eliminate harmonics and speed ripple minimization. The identification of parameters in new geometry of IM based with finite element model (FEM), to create model in simulink MATLAB. Two different control methods have been proposed for IM based on PID controller and intelligent PID-controller with ACO are presented.
Metaheuristic algorithms based-design optimization of a permanent magnet motor
Abstract: This work deals with a design optimization of an in-wheel permanent magnet motor. The main purpose of the optimization procedure is to find the optimal machine design by maximizing its efficiency. For this end, two nature-inspired algorithms are implemented. The first one is the Particul swarm optimization (PSO) method. The second one is the firefly algorithm (FA).The reason of testing two methods is to known the most appropriate one in electrical machine design optimization. Firstly, an analytical model of the studied topology is developed. Then, the optimization procedure is carried out. Based on the simulation results, the performances of both techniques are compared. Furthermore, the optimal design is chosen and analyzed by means of finite elements analysis (FEA) tool. Whereby, a good agreement between analytical and FEA results is shown. Based on this study, it is shown that FA is well suited for machine design optimization. It sufficiently satisfies the requirements of accuracy and rapidity.
Performance analysis of a network connected photovoltaic system
Abstract: In this work, photovoltaic mathematical model and power control are presented . The production systems require an efficient analysis of the photovoltaic systems connected to the distribution network so as to predict their dynamic performances.The performances of grid connected photovoltaic system are analyzed under different climatic conditions. The set is programmed and evaluated using Matlab/Simulink software.
Study of Thermal Distribution in Human Tissue across Analytical Solution
Abstract: Although the measurement of body temperatures has been known to humans since antiquity, this has not prevented the profit from the astonishing progress of electronics in order to have more measuring temperature devices powerful and with acceptable accuracy. Through this work we aim to measure the body temperature of a subject by different devices. Make a physical characterization by exploiting the powerful computing and programming tool, namely the Matlab software.
Power Loss Minimization and Optimal Placement of Distributed Generation Units for Voltage Profile Improvement Using PSO Algorithm
Abstract: As there are a lot of benefits of the distributed generation (DG) units integrated in the distribution power system over conventional system, DG has an important role in the power system. This work proposes a stochastic method of optimization particle swarm optimization (PSO) based technique for the optimal placement of DG in the distribution power system in order to improve the voltage profile and minimize the power losses in the distribution power syetem.
Active Power Filtering application for three-phase grid and centrifugal pump interconnection
Abstract: Owing to the increasing integration of the centrifugal pumps driven by frequency converter in the electric network, this paper aims to exploit the advantages of multilevel inverters in the application of active power filtering for three phase grid connected to a pump. The main principle of this work is checking the efficiency of the embedded cascaded inverter for the harmonic mitigation. The electrical behavior of the whole system is showed through Matlab/Simulink simulation.
Modeling of the Variable Reluctance Synchronous Machines by finite elements (two-phase model)
Abstract: In this paper, we develop a finite element model of the variable reluctance synchronous machine. This model is created using a FEM simulator. The modeling of this machine by the finite element method will allow us to determine its magnetic characteristics: inductances, magnetic flux and electromagnetic torque. The angular position of the rotor (?) and the phase current (i) will be used as parameters. The results obtained by the finite element are compared with those obtained by the analytical method
Ultrat-Violet MSM photodetector based ZnO study and simulation
Abstract: Abstract: Modeling semiconductor devices has
become mandatory in most challenging research
activity. Finding a powerful tool that models these
devices represents a goal of these users. In this work,
MSM photodetector based ZnO is designed using two
different types of interdigited metal contacts; schottky
and ohmic. The results will show us the distribution of
carrier concentration and the distribution of the
electric field across the structure. COMSOL
Multiphysics is the selected challenging tool for
simulation and characterization of this design. The
different outputs like carriers' concentration
distribution and electric potential distribution are