Speed Control of Switched Reluctance Motor Fed by PV System Using Ant Colony Optimization Algorithm

摘要

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 behaviour of the proposed ACO has been estimated with the behaviour of Genetic Algorithm (GA) in order to prove the superior efficiency of the proposed ACO in tuning PI controller over GA. Also, the behaviour 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 behaviour 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.