PSO algorithm for Three Phase Induction Motor drive with SVPWM Switching and V/f Control

J. Ali, M. A. Hannan, A. Mohamed
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引用次数: 16

Abstract

Optimization techniques are become more popular for the improvement in control of Three Phase Induction Motor (TIM). Also the Volt/Hz (V/f) control and space vector pulse width modulation (SVPWM) are used to reduce the harmonics level related to other control and modulation techniques. This paper deals with the tuning of PI controller parameters to be used in TIM. Particle Swarm Optimization (PSO) algorithm is used to tune each parameter of PI speed controller to improve the speed response performance of the TIM. By designing appropriate PSO algorithm, Kp and Ki of the PI speed controller parameters are tuned for TIM operation with SVPWM Switching and V/f Control. The performance of PI speed controller on the TIM is measured by estimating the change of speed and torque under speed response condition. It is found that the performance of the PI controller is robust in terms of overshoot, settling time, steady state error and RMSE.
基于SVPWM开关和V/f控制的三相异步电动机驱动的粒子群算法
为了提高三相异步电动机的控制性能,优化技术越来越受到人们的欢迎。此外,使用伏特/赫兹(V/f)控制和空间矢量脉宽调制(SVPWM)来降低与其他控制和调制技术相关的谐波水平。本文讨论了用于TIM的PI控制器参数的整定。采用粒子群优化(PSO)算法对PI速度控制器的各参数进行整定,提高了TIM的速度响应性能。通过设计合适的粒子群算法,通过SVPWM切换和V/f控制,调整PI速度控制器参数Kp和Ki,使其适合于TIM运行。在速度响应条件下,通过估计转速和转矩的变化量来衡量PI调速控制器在TIM上的性能。结果表明,该控制器在超调量、稳定时间、稳态误差和均方根误差等方面具有较好的鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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