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Fuzzy Approximation-Based Backstepping Control of Permanent Magnet Synchronous Motor

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Abstract

A permanent magnet synchronous motor(PMSM) control system based on backstepping control can effectively improve the dynamic performance, and the design process is simple and easy to be implemented in engineering. However, factors such as changes in motor parameters due to environmental changes, wear and aging, and external load disturbances can adversely affect the control system, resulting in degraded control performance. To address this problem, this paper proposes a fuzzy approximation-based backstepping control method for PMSM. The method constructs a mathematical model containing the perturbation term of the PMSM body parameters and the load disturbance term. And the universal approximation property of the fuzzy logic system is used to approximate the disturbance terms in the model, based on which a backstepping controller satisfying the stability requirements is designed. Finally, the simulation and experiment are given, which compare with the traditional backstepping method. The results show that the proposed method can effectively suppress the adverse effects of motor parameter changes and load disturbances on the motor control system.

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Acknowledgements

This work was supported in part by the National Natural Science Foundation of China under Grant 52177056.

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Authors and Affiliations

  1. School of Electrical and Control Engineering, Xi’an University of Science and Technology, Xi’an, Shaanxi Province, China

    Yufeng Zhang, Qi Yan, Nan Huang, Zihui Wu, Hao Gong & Guanghui Du

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  1. Yufeng Zhang
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  2. Qi Yan
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  3. Nan Huang
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  4. Zihui Wu
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  5. Hao Gong
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  6. Guanghui Du
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Correspondence to Qi Yan.

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Zhang, Y., Yan, Q., Huang, N. et al. Fuzzy Approximation-Based Backstepping Control of Permanent Magnet Synchronous Motor. J. Electr. Eng. Technol. 18, 2115–2126 (2023). https://doi.org/10.1007/s42835-022-01315-9

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  • DOI: https://doi.org/10.1007/s42835-022-01315-9

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