Simulation of A Fuzzy Controller for Controlling A Two-Mass Electromechanical System

Abstract

This study presents a model with a fuzzy logic controller (FLC) for controlling a two-mass electric drive operating with a dynamic load. In the Simulink environment of the MatLab software package, a model of the mechanical part of the electric drive system with a proportional integral differential (PID) controller was built, which was tested for two different characteristics created by the technological mechanism. The low performance of a system with a PID regulator has been proven, especially in electric drive systems operating with a shock load. The expediency of using Fuzzy logic regulators for electric drive systems operating under uncertain conditions is substantiated. To ensure the required efficiency of the electric drive system, a FLC model has been developed in the Fuzzy Logic Toolbox environment of the MatLab software package. To control the mechanical part of the electric drive system 16 laws have been formulated. Tests of the electric drive control system model with a FLC confirm its high efficiency when changing the load torque according to various laws. A hybrid model was synthesized with the help of the ANFIS editor. It has been confirmed that the hybrid network provides satisfactory identification quality.