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Sliding Mode Variable Structure Control of a Bearingless Induction Motor Based on a Novel Reaching Law

Author

Listed:
  • Zebin Yang

    (School of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, China)

  • Ling Wan

    (School of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, China)

  • Xiaodong Sun

    (Automotive Engineering Research Institute, Jiangsu University, Zhenjiang 212013, China)

  • Fangli Li

    (School of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, China)

  • Lin Chen

    (School of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, China)

Abstract

In order to improve the performance of the Bearingless Induction Motor (BIM) under large disturbances (such as parameter variations and load disturbances), an adaptive variable-rated sliding mode controller (ASMC) is designed to obtain better performance of the speed regulation system. Firstly, the L 1 norm of state variables is applied to the conventional exponential reaching law and an adaptive variable-rated exponential reaching law is proposed to reduce system chattering and improve bad convergence performance of the sliding mode variable structure. Secondly, an integral sliding-mode hyper plane is produced according to the speed error in speed regulation system of BIM. Current signal is extracted by the combination of the sliding-mode hyper plane, the electromagnetic torque and the equation of motion. Finally, the feedback speed can adjust operating state adaptively according to speed error and make system chattering-free moving. The simulation and experiment results show that the proposed ASMC can not only enhance the robustness of the system’s uncertainties, but also improve the dynamic performance and suppress system chattering.

Suggested Citation

  • Zebin Yang & Ling Wan & Xiaodong Sun & Fangli Li & Lin Chen, 2016. "Sliding Mode Variable Structure Control of a Bearingless Induction Motor Based on a Novel Reaching Law," Energies, MDPI, vol. 9(6), pages 1-14, June.
    • Handle: RePEc:gam:jeners:v:9:y:2016:i:6:p:452-:d:71878
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    References listed on IDEAS

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    1. Sergio Ignacio Serna-Garcés & Daniel Gonzalez Montoya & Carlos Andres Ramos-Paja, 2016. "Sliding-Mode Control of a Charger/Discharger DC/DC Converter for DC-Bus Regulation in Renewable Power Systems," Energies, MDPI, vol. 9(4), pages 1-27, March.
    2. Jingang Guo & Xiaoping Jian & Guangyu Lin, 2014. "Performance Evaluation of an Anti-Lock Braking System for Electric Vehicles with a Fuzzy Sliding Mode Controller," Energies, MDPI, vol. 7(10), pages 1-18, October.
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    Cited by:

    1. Takwa Sellami & Hanen Berriri & Sana Jelassi & A Moumen Darcherif & M Faouzi Mimouni, 2017. "Short-Circuit Fault Tolerant Control of a Wind Turbine Driven Induction Generator Based on Sliding Mode Observers," Energies, MDPI, vol. 10(10), pages 1-21, October.
    2. Youpeng Chen & Wenshao Bu & Yanke Qiao, 2021. "Research on the Speed Sliding Mode Observation Method of a Bearingless Induction Motor," Energies, MDPI, vol. 14(4), pages 1-18, February.
    3. Rok Pajer & Amor Chowdhury & Miran Rodič, 2019. "Control of a Multiphase Buck Converter, Based on Sliding Mode and Disturbance Estimation, Capable of Linear Large Signal Operation," Energies, MDPI, vol. 12(14), pages 1-26, July.

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