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

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.