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

Author

Listed:
  • Youcef Bekakra

    (University of El Oued)

  • Djilani Ben Attous

    (University of El Oued)

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.

Suggested Citation

  • Youcef Bekakra & Djilani Ben Attous, 2017. "Optimizing of IP speed controller using particle swarm optimization for FOC of an induction motor," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 8(1), pages 361-369, January.
    • Handle: RePEc:spr:ijsaem:v:8:y:2017:i:1:d:10.1007_s13198-015-0391-1
    DOI: 10.1007/s13198-015-0391-1
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