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Research on the Speed Sliding Mode Observation Method of a Bearingless Induction Motor

Author

Listed:
  • Youpeng Chen

    (Information Engineering College, Henan University of Science and Technology, Luoyang 471023, China)

  • Wenshao Bu

    (Electrical Engineering College, Henan University of Science and Technology, Luoyang 471023, China)

  • Yanke Qiao

    (Luoyang Mining Machinery Engineering Design Institute, Luoyang 471039, China)

Abstract

In order to achieve the speed sensorless control of a bearingless induction motor (BL-IM), a novel sliding mode observation (SMO) method of motor speed is researched. First of all, according to the mathematical model of a BL-IM system, the observation model of stator current and that of rotor flux-linkage are derived. In order to overcome the chattering problem of a sliding mode observer, a continuous saturation function is adopted to replace the traditional sign function. Then, the SMO model of motor speed is derived, and the stability of the proposed motor speed SMO method is validated by the Lyapunov stability theory. At the end, the observed motor speed and rotor flux-linkage are applied to a BL-IM inverse “dynamic decoupling control” (DDC) system. Simulation results show that the real-time observation or dynamic tracking of motor speed and rotor flux-linkage are achieved in a more timely manner and more accurately, and higher steady-state observation accuracy is obtained; the proposed SMO method can be used in the BL-IM’s inverse DDC system to realize reliable magnetic suspension operation control without a speed sensor.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:4:p:864-:d:495181
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    References listed on IDEAS

    as
    1. Zhiying Zhu & Jin Zhu & Xuan Guo & Yongjiang Jiang & Yukun Sun, 2019. "Numerical Modeling of Suspension Force for Bearingless Flywheel Machine Based on Differential Evolution Extreme Learning Machine," Energies, MDPI, vol. 12(23), pages 1-17, November.
    2. 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.
    3. Yuxin Sun & Jingwei Tang & Kai Shi, 2017. "Design of a Bearingless Outer Rotor Induction Motor," Energies, MDPI, vol. 10(5), pages 1-15, May.
    4. Xiaoyuan Wang & Yaopeng Zhang & Peng Gao, 2020. "Design and Analysis of Second-Order Sliding Mode Controller for Active Magnetic Bearing," Energies, MDPI, vol. 13(22), pages 1-14, November.
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    Cited by:

    1. Piotr Leśniewski & Andrzej Bartoszewicz, 2021. "Reaching Law Based Sliding Mode Control of Sampled Time Systems," Energies, MDPI, vol. 14(7), pages 1-19, March.
    2. Ahmed G. Mahmoud A. Aziz & Almoataz Y. Abdelaziz & Ziad M. Ali & Ahmed A. Zaki Diab, 2023. "A Comprehensive Examination of Vector-Controlled Induction Motor Drive Techniques," Energies, MDPI, vol. 16(6), pages 1-32, March.
    3. Krzysztof Falkowski & Paulina Kurnyta-Mazurek & Tomasz Szolc & Maciej Henzel, 2022. "Radial Magnetic Bearings for Rotor–Shaft Support in Electric Jet Engine," Energies, MDPI, vol. 15(9), pages 1-33, May.

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