Speed Control of SRM Fed by Photovoltaic System Using Ant Colony Optimization Algorithm

Abstract

This paper proposes a speed control of Switched Reluctance Motor (SRM) supplied by Photovoltaic (PV) system. The proposed design of speed controller is formulated as an
optimization problem. Ant Colony Optimization (ACO) algorithm is employed to search for optimal Proportional Integral (PI) parameter
of speed controller by minimizing the time domain objective function. The behavior of the proposed ACO has been estimated
with the behavior of Genetic Algorithm (GA) in order to prove the superior efficiency of the proposed ACO in tuning PI controller over
GA. Also, the behavior of the proposed controller has been estimated with respect to the change of load torque, variable
reference speed, ambient temperature, and radiation. Simulation results confirm the better behavior of the optimized PI controller
based on ACO compared with optimized PI controller based on GA over a wide range of operating conditions. Simulation results have
shown the validity of the proposed technique in controlling the speed of SRM.