Identification of Fractional-order DC Motor Model by Bat Algorithm

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Published: Apr 25, 2025
Keywords:
Identification, Integer-order, Fractional-order, DC Motor, Bat Algorithm (BA)

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Danupon Kumpanya
Department of Electrical Engineering, Faculty of Engineering and Architecture, Rajamangala University of Technology Suvarnabhumi, Thailand
Sattarpoom Thaipanit
Department of Business Information and Computer, Faculty of Business Administration and Information Technology, Rajamangala University of Technology Suvarnabhumi, Thailand
Channarong Angthong
Department of Electrical Engineering, Faculty of Engineering and Architecture, Rajamangala University of Technology Suvarnabhumi, Thailand

Abstract

This paper, Identification of Fractional-Order DC Motor Model by Bat Algorithm (BA) proposes one of the most efficient meta-heuristic optimization techniques in searching value of the parameters. The BA is based on the echolocation behaviour of micro bats in varying pulse emission and loudness. The DC motor was tested in the laboratory to collect important data such as the step input signal and output signal of the DC motor. As the results, it was found that the BA can provide the optimal parameters of the DC motor in both integer-order and fractional-order models appropriately. However, the fractional-order model is more accurate than the integer-order model.

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How to Cite
[1]
D. KUMPANYA, S. Thaipanit, and C. Angthong, “Identification of Fractional-order DC Motor Model by Bat Algorithm”, TEEJ, vol. 5, no. 1, pp. 1–8, Apr. 2025.
Issue
Vol. 5 No. 1 (2025): January - April
Section
Research article
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