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Finite-Time Prescribed Performance-Based Adaptive Fuzzy Command Filtering Control for Permanent Magnet Synchronous Motors with Actuator Faults

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Abstract

This research focuses on the issue of adaptive fuzzy fault-tolerant position tracking for permanent magnet synchronous motors (PMSMs) subject to finite-time prescribed performance. An improved finite-time prescribed performance control strategy, in which unknown nonlinear functions can be tackled via fuzzy logic systems (FLSs), is presented via incorporating the approach of prescribed performance control with the technique of command filter. In addition, the command filtered method is utilized to conquer the ‘explosion of complexity’ emerged in the classic backstepping method and the error compensation mechanism is adopted to diminish the error generated by filtering process. Further, the impact of actuator failures is dealt with based on fault-tolerant control. It is proven that the designed controllers not only assure the semi-global boundedness of all the controlled system signals, but also make the output tracking error is preserved in a specified prescribed performance within a finite-time interval. Finally, simulation results are supplied to display the significance and potential of the proposed control technique.

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Authors and Affiliations

  1. School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing, 100044, China

    Shijia Kang

  2. Department of Systems and Computer Engineering, Carleton University, Ottawa, ON, K1S 5B6, Canada

    Peter Xiaoping Liu

  3. College of Mathematical Sciences, Bohai University, Jinzhou, 121000, China

    Huanqing Wang

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  1. Shijia Kang
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Correspondence to Shijia Kang.

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Kang, S., Liu, P.X. & Wang, H. Finite-Time Prescribed Performance-Based Adaptive Fuzzy Command Filtering Control for Permanent Magnet Synchronous Motors with Actuator Faults. Int. J. Fuzzy Syst. 26, 1827–1839 (2024). https://doi.org/10.1007/s40815-024-01705-3

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  • DOI: https://doi.org/10.1007/s40815-024-01705-3

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