Optimizing of IP speed controller using particle swarm optimization for FOC of an induction motor

Youcef Bekakra () and Djilani Ben Attous ()
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Youcef Bekakra: University of El Oued
Djilani Ben Attous: University of El Oued

International Journal of System Assurance Engineering and Management, 2017, vol. 8, issue 1, No 34, 369 pages

Abstract: Abstract This paper presents a modern approach for speed control of an induction motor (IM) using the particle swarm optimization (PSO) method for determining the optimal parameters, K p and K i , of the integral proportional (IP) controller. The use of PSO as an optimization algorithm makes the drive robust, with faster dynamic response, higher accuracy and insensitive to load variation. Comparison between different controllers is achieved, using an IP controller which is tuned by two methods, firstly manually and secondly using the PSO technique. Integral time absolute error, integral absolute error and integral square error performance indices are considered to satisfy the required criteria in output speed of an IM. From the simulation results it is observed that the IP controller designed with PSO yields better results when compared to the traditional method in terms of performance index.

Keywords: Induction motor; Field oriented control; Integral proportional (IP) controller; Particle swarm optimization (PSO); Tuning off-line (search for similar items in EconPapers)
Date: 2017
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DOI: 10.1007/s13198-015-0391-1

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