PSO Algorithm for Three Phase Induction Motor with V/F Speed Control

Qusay Hussein Mirdas, N. Yasin, N. Alshamaa
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Abstract

Because induction motors are used in most industries, IM control is more essential, Optimization is used approaches are becoming more common for improving Three - Phase induction motor (TIM). In addition, the Volt/Hz (V/f) control is utilized to minimize the harmonics level of other control and modulation approaches. This study is about tuning the PI controller parameters for utilization in TIM. To optimize the speed response performance of the TIM, the Particle Swarm Optimization (PSO) algorithm is used to adjust each parameter of the PI speed controller. Kp and Ki of the PI speed controller parameters are optimized for TIM operation with V/ f Control by designing an appropriate PSO algorithm. The PI speed controller's performance on the TIM is measured by measuring changes in speed and torque under-speed response events. In PSO, the PI controller performs well in terms of overshoot, settling time, and steady-state error.
三相感应电动机V/F速度控制的粒子群算法
由于异步电动机在大多数工业中使用,因此IM控制更为重要,采用优化方法对三相异步电动机(TIM)进行改进变得越来越普遍。此外,伏特/赫兹(V/f)控制被用来最小化其他控制和调制方法的谐波水平。本研究是关于调优PI控制器参数以在TIM中使用。为了优化TIM的速度响应性能,采用粒子群优化(PSO)算法对PI速度控制器的各参数进行调整。通过设计合适的粒子群算法,优化了PI速度控制器参数Kp和Ki,以适应V/ f控制下的TIM运行。通过测量转速和转矩在低速响应事件中的变化来测量PI速度控制器在TIM上的性能。在PSO中,PI控制器在超调量、稳定时间和稳态误差方面表现良好。
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