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 and Weilin Li
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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

Energies, 2017, vol. 10, issue 10, 1-15

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.

Keywords: electro-mechanical actuator; RBF neural network; terminal sliding mode control; chattering (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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