Adaptive nonsingular fast terminal sliding mode control for braking systems with electro-mechanical actuators based on radial basis function

Bo Liang, Yuqing Zhu, Yuren Li, Pengju He, Weilin Li

Research output: Contribution to journalArticlepeer-review

24 Scopus citations

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.

Original languageEnglish
Article number1637
JournalEnergies
Volume10
Issue number10
DOIs
StatePublished - Oct 2017

Keywords

  • Chattering
  • Electro-mechanical actuator
  • RBF neural network
  • Terminal sliding mode control

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