Robust H-Infinity Speed Controller based Optimization Technique for Doubly Salient Singly Excited Motor Drive

Abstract

This research presents a novel robust controller for Doubly Salient Singly Excited motor (DSSEM) speed controlling. This algorithm aims to minimize the influence of disturbances that affect motor function and offer the best duty cycles possible to accomplish tracking performance. The H-infinity () tracking control approach can optimally solve the tracking game algebraic Riccati equation online by using reinforcement learning. This method enhances the Doubly Salient Singly Excited Motor (DSSEM) system model with the reference current model to produce a quadratic value function. The quadratic value function facilitates the implementation of a linear quadratic tracker, similar to control. By partitioning and organizing the nonlinear domain of the DSSEM into a table of nodes, the system can manage complex nonlinearities efficiently. Each node in the table represents a specific region of the control space, allowing for precise and robust tracking of desired reference signals. This structure ensures that the DSSEM achieves optimal performance and stability, adapting dynamically to operational changes. Furthermore, the tracking control is outfitted with a linear interpolation method to facilitate a seamless transition between matrices in the table. Finally, this paper presents simulation results to validate the proposed control algorithm.