4.7 Article

Speed control of induction motor supplied by wind turbine via Imperialist Competitive Algorithm

Journal

ENERGY
Volume 89, Issue -, Pages 593-600

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.energy.2015.06.011

Keywords

Genetic Algorithm; Imperialist Competitive Algorithm; Induction Motor; Performance index; Speed control; Wind turbine

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This paper proposes the speed control of IM (Induction Motor) fed by wind turbine using ICA (Imperialist Competitive Algorithm). The wind turbine plays as a prime mover to a connected DC (Direct Current) generator. PWM (Pulse Width Modulation) is used to get three phase AC (Alternating Current) 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 ZN (Ziegler-Nichols) and GA (Genetic-Algorithm) in order to prove the superiority of the proposed ICA in tuning PI (Proportional plus Integral) controller. Also, the behavior of the proposed controller has been tested over a wide range of operating conditions. Simulation results confirm on the better behavior of the optimized PI controller based on ICA compared with other algorithms. (C) 2015 Elsevier Ltd. All rights reserved.

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