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

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13 Citations (Scopus)

Abstract

This paper proposes a new application of a dynamic particle swarm optimization (PSO) algorithm for parameter estimation of an induction machine. The dynamic PSO is one of the PSO variants, which modifies the acceleration coefficients of the cognitive and social components in the velocity update equation of the PSO as linear time-varying parameters. The acceleration coefficients are varied during the evolution process of the PSO to improve the global search capability of particles in the early stage of the optimization process and direct the global optima at the end stage. 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 dynamic PSO. The results show that the dynamic PSO is better than the standard PSO and GA for parameter estimation of the induction machine. © 2010 IEEE.

Original languageEnglish
Title of host publicationISIE 2010 - 2010 IEEE International Symposium on Industrial Electronics
Pages1414-1419
Number of pages6
DOIs
Publication statusPublished - 2010
Event2010 IEEE International Symposium on Industrial Electronics - Bari, Italy
Duration: 4 Jul 20107 Jul 2010

Conference

Conference2010 IEEE International Symposium on Industrial Electronics
Abbreviated titleISIE 2010
CountryItaly
CityBari
Period4/07/107/07/10

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  • Cite this

    Huynh, D. C., & Dunnigan, M. W. (2010). Parameter estimation of an induction machine using a dynamic particle swarm optimization algorithm. In ISIE 2010 - 2010 IEEE International Symposium on Industrial Electronics (pp. 1414-1419) https://doi.org/10.1109/ISIE.2010.5637818