Optimal GainsTuning of Speed Controller in Induction Motor Drives Using Particle SWARMOptimization

Wally, Hussein  M; Azazi, Haitham Z.; El-Khouly, Fahmy  M.

doi:10.21608/erjm.2014.66867

Optimal GainsTuning of Speed Controller in Induction Motor Drives Using Particle SWARMOptimization

Document Type : Original Article

Authors

¹ Mechanical& Electrical Research Center, National Water Research Center, Egypt

² Department of electrical Engineering, Faculty of Engineering, Menoufiya University, Egypt

³ Department of electrical Engineering, Faculty of Engineering, Menoufiya University, Egypt,

10.21608/erjm.2014.66867

Abstract

The last decade has witnessed a great interest in using evolutionary algorithms (EAs), such as genetic algorithms (GA), evolutionary strategies and particle swarm optimization (PSO), for multivariate optimization. This paper presents a modern approach of speed control for three-phase induction motor (IM) using PSO algorithm to optimize the parameters of the proportional integral (PI) and Fuzzy-PI controllers. Comparison between different controllers is achieved, using PI and fuzzy-PI controllers which are tuned by two methods, firstly manually and secondly using PSO technique. Hybrid of FL and PI controller PSO-based for the speed control of given motor is also performed to eliminate the drawbacks of PI controller (overshoot, undershoot) and FL controller (steady-state error), which has a minimum number of fuzzy rules and membership functions (MFs). The overall system is simulated under various operating conditions and experimental results are prepared.

Keywords