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Enhanced Raccoon Optimization Algorithm for PMSM Electrical Parameter Identification

Author

Listed:
  • Zhihong Hu

    (College of Electrical and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China)

  • Jihao Zhan

    (College of Electrical and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China)

  • Zelan Li

    (School of Wind Energy Engineering, Hunan Electrical College of Technology, Xiangtan 411101, China
    College of Electrical and Information Engineering, Hunan University, Changsha 410082, China)

  • Xiangqing Hou

    (School of Elevator Engineering, Hunan Electrical College of Technology, Xiangtan 411101, China)

  • Zhiang Fu

    (College of Electrical and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China)

  • Xiaoliang Yang

    (College of Electrical and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China)

Abstract

This article proposes an improved algorithm for the parameter identification of permanent magnet synchronous motors (PMSMs). An enhanced raccoon optimization algorithm (EROA) was formed by combining the raccoon optimization algorithm (ROA) with the adaptive exploration radius, raccoon-washing-food-inspired, and escaping-predator strategies. First, using some of the functions in IEEE CEC2015, the EROA solution has a large improvement in convergence speed and solution accuracy compared with other algorithms. Second, the EROA solution is more stable under the same conditions, as demonstrated by MATLAB parameter identification simulation. Finally, EROA is applied to motor parameter identification through motor control experiments.

Suggested Citation

  • Zhihong Hu & Jihao Zhan & Zelan Li & Xiangqing Hou & Zhiang Fu & Xiaoliang Yang, 2025. "Enhanced Raccoon Optimization Algorithm for PMSM Electrical Parameter Identification," Energies, MDPI, vol. 18(4), pages 1-16, February.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:4:p:869-:d:1589511
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    References listed on IDEAS

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    1. Michal Gierczynski & Rafal Jakubowski & Emil Kupiec & Lukasz Jan Niewiara & Tomasz Tarczewski & Lech M. Grzesiak, 2024. "Identification of the Parameters of the Highly Saturated Permanent Magnet Synchronous Motor (PMSM): Selected Problems of Accuracy," Energies, MDPI, vol. 17(23), pages 1-28, December.
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    Cited by:

    1. Ziqing Zhang & Xiang Wu & Bo Yang, 2025. "Maximum Torque per Ampere Control of IPMSM Based on Current Angle Searching with Sliding-Mode Extremum Seeking," Energies, MDPI, vol. 18(21), pages 1-13, October.

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