Parameter estimation of an induction machine using a chaos particle swarm optimization algorithm

D. C. Huynh, M. W. Dunnigan

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 parameter estimation of an induction machine. A chaos PSO with a logistic map has been used for initializing random values of the estimated parameters, as well as the inertia weight in the velocity update equation of the PSO. This creates the best balance for the inertia weight during the evolution process of the PSO which results in the best convergence capability and search performance. Additionally, the algorithm has also been improved with regards to the diversity in the solution space through two independent chaotic random sequences. The algorithm uses the measurements of the three-phase stator currents, voltages and the speed of the induction machine as the inputs to the parameter estimator. The experimental results obtained compare the estimated parameters with the induction machine parameters achieved using traditional tests such as the DC, no-load and locked-rotor tests. There is also a comparison of the solution quality between a genetic algorithm (GA), standard PSO and chaos PSO. The results show that the chaos PSO is better than the GA and standard PSO for parameter estimation of the induction machine.

Original languageEnglish
Title of host publication5th IET International Conference on Power Electronics, Machines and Drives, PEMD 2010
Volume2010
Edition563 CP
DOIs
Publication statusPublished - 2010
Event5th IET International Conference on Power Electronics, Machines and Drives - Brighton, United Kingdom
Duration: 19 Apr 201021 Apr 2010

Conference

Conference5th IET International Conference on Power Electronics, Machines and Drives
Abbreviated titlePEMD 2010
CountryUnited Kingdom
CityBrighton
Period19/04/1021/04/10

Fingerprint

Chaos theory
Parameter estimation
Particle swarm optimization (PSO)
Genetic algorithms
Stators
Logistics
Rotors
Electric potential

Keywords

  • Chaos
  • Induction machine
  • Parameter estimation
  • Particle swarm optimization algorithm

Cite this

Huynh, D. C., & Dunnigan, M. W. (2010). Parameter estimation of an induction machine using a chaos particle swarm optimization algorithm. In 5th IET International Conference on Power Electronics, Machines and Drives, PEMD 2010 (563 CP ed., Vol. 2010) https://doi.org/10.1049/cp.2010.0104
Huynh, D. C. ; Dunnigan, M. W. / Parameter estimation of an induction machine using a chaos particle swarm optimization algorithm. 5th IET International Conference on Power Electronics, Machines and Drives, PEMD 2010. Vol. 2010 563 CP. ed. 2010.
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Huynh, DC & Dunnigan, MW 2010, Parameter estimation of an induction machine using a chaos particle swarm optimization algorithm. in 5th IET International Conference on Power Electronics, Machines and Drives, PEMD 2010. 563 CP edn, vol. 2010, 5th IET International Conference on Power Electronics, Machines and Drives, Brighton, United Kingdom, 19/04/10. https://doi.org/10.1049/cp.2010.0104

Parameter estimation of an induction machine using a chaos particle swarm optimization algorithm. / Huynh, D. C.; Dunnigan, M. W.

5th IET International Conference on Power Electronics, Machines and Drives, PEMD 2010. Vol. 2010 563 CP. ed. 2010.

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

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Huynh DC, Dunnigan MW. Parameter estimation of an induction machine using a chaos particle swarm optimization algorithm. In 5th IET International Conference on Power Electronics, Machines and Drives, PEMD 2010. 563 CP ed. Vol. 2010. 2010 https://doi.org/10.1049/cp.2010.0104