An application of kho-Kho optimization algorithm to estimation parameter of permanent magnet synchronous machine

Permanent magnet synchronous motors (PMSM) are among the popular motors used in industrial applications. Designing an appropriate control scheme to obtain the desired output for these motors depends on the motor parameters. In this aspect, this paper presents the application of a well-known meta-heu...

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Bibliographic Details
Published ine-Prime Vol. 6; p. 100309
Main Author Srivastava, Abhishek
Format Journal Article
LanguageEnglish
Published Elsevier 01.12.2023
Subjects
Kho-Kho optimization (KKO) algorithm
Parameter estimation
Permanent magnet synchronous motor (PMSM)
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ISSN2772-6711
2772-6711
DOI10.1016/j.prime.2023.100309

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Summary:Permanent magnet synchronous motors (PMSM) are among the popular motors used in industrial applications. Designing an appropriate control scheme to obtain the desired output for these motors depends on the motor parameters. In this aspect, this paper presents the application of a well-known meta-heuristics optimization scheme, i.e., the Kho-Kho optimization (KKO) algorithm to estimate the parameters of PMSM. The KKO algorithm introduced in [1] is a population-based meta-heuristic optimization scheme that replicated the chasing strategy of a defending team in a Kho-Kho game. To show the supremacy of the suggested scheme in determining the unknown parameters of the PMSM, a PMSM with known coefficients is considered and the parameter of the model is estimated using the KKO algorithm.
ISSN:2772-6711
2772-6711
DOI:10.1016/j.prime.2023.100309