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Adaptive Nonsingular Fast Terminal Sliding Mode Control for Braking Systems with Electro-Mechanical Actuators Based on Radial Basis Function

Author

Listed:
  • Bo Liang

    (School of Automation, Northwestern Polytechnical University, Xi’an 710072, China)

  • Yuqing Zhu

    (School of Automation, Northwestern Polytechnical University, Xi’an 710072, China)

  • Yuren Li

    (School of Automation, Northwestern Polytechnical University, Xi’an 710072, China)

  • Pengju He

    (Military Representative Office, 95655 Force, Xi’an 710072, China)

  • Weilin Li

    (School of Automation, Northwestern Polytechnical University, Xi’an 710072, China)

Abstract

In this paper an adaptive non-singular fast terminal sliding mode (NFTSM) control scheme is proposed to control the electro-mechanical actuator (EMA) in an electric braking system which is a complex electro-mechanical system. In order to realize high-performance brake pressure servo control, a radial basis function (RBF) neural network method is adopted to deal with the difficulty of estimating the upper bound of the compound disturbance in the system, to reduce the conservatism of the design of sliding mode switching gain, and effectively eliminate sliding mode chattering. The simulation results show that, compared with a linear controller, the proposed control strategy is able to improve the servo performance and control precision. In addition the response speed of the braking actuator is enhanced significantly, without changing the traditional double-loop control structure.

Suggested Citation

  • Bo Liang & Yuqing Zhu & Yuren Li & Pengju He & Weilin Li, 2017. "Adaptive Nonsingular Fast Terminal Sliding Mode Control for Braking Systems with Electro-Mechanical Actuators Based on Radial Basis Function," Energies, MDPI, vol. 10(10), pages 1-15, October.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:10:p:1637-:d:115437
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    References listed on IDEAS

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    1. Jinsong Yu & Baohua Mo & Diyin Tang & Jie Yang & Jiuqing Wan & Jingjing Liu, 2017. "Indirect State-of-Health Estimation for Lithium-Ion Batteries under Randomized Use," Energies, MDPI, vol. 10(12), pages 1-19, December.
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    Cited by:

    1. Seung-Koo Baek & Hyuck-Keun Oh & Seog-Won Kim & Sung-Il Seo, 2018. "A Clamping Force Performance Evaluation of the Electro Mechanical Brake Using PMSM," Energies, MDPI, vol. 11(11), pages 1-12, October.
    2. Seung-Koo Baek & Hyuck-Keun Oh & Joon-Hyuk Park & Yu-Jeong Shin & Seog-Won Kim, 2019. "Evaluation of Efficient Operation for Electromechanical Brake Using Maximum Torque per Ampere Control," Energies, MDPI, vol. 12(10), pages 1-13, May.
    3. Congcong Li & Guirong Zhuo & Chen Tang & Lu Xiong & Wei Tian & Le Qiao & Yulin Cheng & Yanlong Duan, 2023. "A Review of Electro-Mechanical Brake (EMB) System: Structure, Control and Application," Sustainability, MDPI, vol. 15(5), pages 1-38, March.

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