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

机译:风力发电机通过帝国竞争算法对感应电动机的速度控制

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摘要

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.
机译:本文提出了利用ICA(帝国主义竞争算法)对风力涡轮机提供的IM(感应电动机)进行速度控制的方法。风力涡轮机充当连接的DC(直流)发电机的原动机。 PWM(脉冲宽度调制)用于从直流发电机的输出中获取三相交流(交流)电压。将提出的速度控制器设计问题作为优化问题。采用ICA通过最小化时域目标函数来搜索最佳控制器参数。为了证明所提出的ICA在调节PI(比例加积分)控制器方面的优越性,已通过常规ZN(Ziegler-Nichols)和GA(遗传算法)的行为来评估所提出的ICA的行为。同样,提出的控制器的性能已经在广泛的工作条件下进行了测试。仿真结果证实,与其他算法相比,基于ICA的优化PI控制器具有更好的性能。 (C)2015 Elsevier Ltd.保留所有权利。

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