Energy efficient control of an induction machine using a chaos particle swarm optimization algorithm

Duy C. Huynh, Matthew W. Dunnigan, Stephen J. Finney

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper proposes a new application of a chaos particle swarm optimization (PSO) algorithm for loss model-based energy efficient control of an induction machine (IM) using an optimal rotor flux reference. The chaos PSO algorithm with a logistic map has been used for initializing a random value of the rotor flux reference, the inertia weight and two independent random sequences in the velocity update equation of the PSO algorithm. These result in the best convergence capability and search performance for the PSO algorithm in searching for an optimal rotor flux reference for energy efficient control of the IM. Additionally, this paper also proposes a recursive least-squares (RLS) algorithm with multiple time-varying forgetting factors for on-line parameter estimation of the IM. The estimated parameters are used to update IM parameter variations during operation. This means that the energy efficient control scheme is robust to parameter variations. Simulation results confirm the effectiveness of the proposed energy efficient control strategy. ©2010 IEEE.

Original languageEnglish
Title of host publicationPECon2010 - 2010 IEEE International Conference on Power and Energy
Pages450-455
Number of pages6
DOIs
Publication statusPublished - 2010
Event2010 IEEE International Conference on Power and Energy - Kuala Lumpur, Malaysia
Duration: 29 Nov 20101 Dec 2010

Conference

Conference2010 IEEE International Conference on Power and Energy
Abbreviated titlePECon2010
CountryMalaysia
CityKuala Lumpur
Period29/11/101/12/10

Keywords

  • Energy efficient control
  • Induction machine
  • Parameter estimation

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  • Cite this

    Huynh, D. C., Dunnigan, M. W., & Finney, S. J. (2010). Energy efficient control of an induction machine using a chaos particle swarm optimization algorithm. In PECon2010 - 2010 IEEE International Conference on Power and Energy (pp. 450-455) https://doi.org/10.1109/PECON.2010.5697625