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Fractional Order Complementary Non-singular Terminal Sliding Mode Control of PMSM Based on Neural Network

  • Electric, Fuel Cell, and Hybrid Vehicle, Electrical and Electronics
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Abstract

Aiming at the sensitivity problems of uncertain factors such as parameter variation, external disturbance and friction for the permanent magnet synchronous motor control system of electric vehicle, a fractional order complementary non-singular terminal sliding mode control method based on neural network is proposed. The mathematical model of permanent magnet synchronous motor with uncertain factors was established. The sliding mode controller was designed by combining the generalized sliding mode surface and the complementary sliding mode surface, which shortened the arrival time from the state trajectory to sliding mode surface. The fractional calculus operator with filtering characteristics was used to improve the position tracking accuracy and reduce the chattering. As for the variety of uncertain disturbances, the neural network was used to estimate the system total uncertainty and compensate online to further improve the dynamic response ability and anti-interference ability. Finally, the simulation results verify the effectiveness and feasibility of the proposed method, which can provide theoretical and technical support for improving the control accuracy of permanent magnet synchronous motor and the development of electric vehicles.

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Acknowledgements

This work is supported by Scientific Research Program of Hubei Provincial Department of Education (D20221802), Reveal List Technology Project of Hubei Province (2021BEC002), and Scientific Research Program of Hubei Provincial Department of Education (Q20221805).

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Authors and Affiliations

  1. School of Electrical and Information Engineering, Hubei University of Automotive Technology, Shiyan, 442002, People’s Republic of China

    Jinliang Zhang, Dunbin Zhu, Wei Jian, Wentao Hu, Guosheng Peng & Yufeng Chen

  2. Dongfeng Automobile Power Parts Co. Ltd, Shiyan, 442002, People’s Republic of China

    Zhihu Wang

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  1. Jinliang Zhang
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  2. Dunbin Zhu
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  3. Wei Jian
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  4. Wentao Hu
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  7. Zhihu Wang
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Correspondence to Jinliang Zhang.

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Zhang, J., Zhu, D., Jian, W. et al. Fractional Order Complementary Non-singular Terminal Sliding Mode Control of PMSM Based on Neural Network. Int.J Automot. Technol. 25, 213–224 (2024). https://doi.org/10.1007/s12239-024-00015-9

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