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Advanced adaptive neural sliding mode control applied in PMSM driving system

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Abstract

The competitive merits of permanent magnet synchronous motor (PMSM) in the industrial environment include its high efficiency and precision. The fact is that PMSM models show highly nonlinear and high-order with time-varied parameters which require the advanced controller available. The precise and fast control with less overshoot response plays crucial factors in designing modern PMSM control schemes. This paper proposes the advanced adaptive neural sliding mode controller (ANSMC) to ensure an accurate and robust speed control for PMSM driving system. The proposed ANSMC technique based on field oriented control (FOC) scheme demonstrates its robustness and obtains competitive control quality in comparison with standard SMC and FOC-PI control methods. The PMSM speed control using proposed control approach shows the superiority over other advanced control techniques.

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Acknowledgement

We acknowledge Ho Chi Minh City University of Technology (HCMUT), VNU-HCM for supporting this study.

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Authors and Affiliations

  1. Ho Chi Minh City University of Technology (HCMUT), 268 Ly Thuong Kiet Street, District 10, Ho Chi Minh City, Vietnam

    Nguyen Tien Dat & Ho Pham Huy Anh

  2. Vietnam National University Ho Chi Minh City (VNU-HCM), Linh Trung Ward, Thu Duc District, Ho Chi Minh City, Vietnam

    Nguyen Tien Dat & Ho Pham Huy Anh

  3. Faculty of Electronics Technology, Industrial University of Ho Chi Minh City (IUH), Ho Chi Minh City, Vietnam

    Cao Van Kien

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  1. Nguyen Tien Dat
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  2. Cao Van Kien
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  3. Ho Pham Huy Anh
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Correspondence to Ho Pham Huy Anh.

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Dat, N.T., Van Kien, C. & Anh, H.P.H. Advanced adaptive neural sliding mode control applied in PMSM driving system. Electr Eng 105, 3255–3262 (2023). https://doi.org/10.1007/s00202-023-01874-8

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  • DOI: https://doi.org/10.1007/s00202-023-01874-8

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