Imperialist Competitive Algorithm: A Novel Approach for Speed Control of Induction Motor Supplied by Wind Turbine

Abstract

This paper proposes the design of a Proportional Integral (PI) controller using Imperialist Competitive Algorithm (ICA) to
control the speed of an Induction Motor (IM) fed from wind turbine. The wind turbine plays as a prime mover to a connected DC
generator. Pulse Width Modulation (PWM) is used to get three phase AC voltage from the output of DC generator. The proposed
design problem of speed controller is established as an optimization
problem. ICA is adopted to search for optimal controller parameters by minimizing the time domain objective function. The behavior of
the proposed ICA has been estimated with the behavior of the conventional Zeigler-Nichols (ZN) and Genetic Algorithm (GA) in
order to prove the superior efficiency of the proposed ICA in tuning PI controller. Also, the behavior of the proposed controller has been
estimated with respect to the change of speed wind turbine and load torque. Simulation results confirm on the better behavior of the
optimized PI controller based on ICA in compare to optimized PI controller based on GA and conventional one over a wide range of
operating conditions.