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

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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.

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Author information

Authors and Affiliations

  1. Faculty of Technology, Department of Electrical Engineering, University of El Oued, P.O. Box 789, El Oued, Algeria

    Youcef Bekakra & Djilani Ben Attous

Authors
  1. Youcef Bekakra
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  2. Djilani Ben Attous
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Correspondence to Youcef Bekakra.

Appendices

Appendix A: Parameters

Rated values: 1.08 Kw; 220/380; 50 Hz; 2.83A/4.91 A, 1500 rpm.

Rated parameters: Rs = 10 Ω, Rr = 6.3 Ω, Ls = 0. 4642 H, Lr = 0. 4612 H, M = 0. 4212 H, P = 2.0, J = 0.01 kg m2, f = 0.00 N-m/rad.

Appendix B: Nomenclature

  • V sd , V sq i sd , i sq , ϕ rd and ϕ rq are stator voltage, stator current and rotor flux d-q components in the rotor flux oriented reference frame;

  • R s , R r are the stator and rotor resistances;

  • L s , L r , M are the stator, rotor and mutual inductances;

  • ω s , ω r , ω sl are the synchronous, rotor and slip speed in electrical;

  • T em , T l are the electromagnetic torque and the load torque respectively;

  • P is number of pole pairs;

  • J, f are the motor inertia and viscous friction coefficient respectively;

IP:

Integral proportional;

FOC:

Filed oriented control;

PSO:

Particle swarm optimization;

IM:

Induction motor.

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Bekakra, Y., Ben Attous, D. Optimizing of IP speed controller using particle swarm optimization for FOC of an induction motor. Int J Syst Assur Eng Manag 8 (Suppl 1), 361–369 (2017). https://doi.org/10.1007/s13198-015-0391-1

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  • DOI: https://doi.org/10.1007/s13198-015-0391-1

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