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Energies 2017, 10(10), 1637; https://doi.org/10.3390/en10101637

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

1
School of Automation, Northwestern Polytechnical University, Xi’an 710072, China
2
Military Representative Office, 95655 Force, Xi’an 710072, China
*
Author to whom correspondence should be addressed.
Received: 28 September 2017 / Revised: 14 October 2017 / Accepted: 16 October 2017 / Published: 18 October 2017
(This article belongs to the Section Electrical Power and Energy System)
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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. View Full-Text
Keywords: electro-mechanical actuator; RBF neural network; terminal sliding mode control; chattering electro-mechanical actuator; RBF neural network; terminal sliding mode control; chattering
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Liang, B.; Zhu, Y.; Li, Y.; He, P.; Li, W. Adaptive Nonsingular Fast Terminal Sliding Mode Control for Braking Systems with Electro-Mechanical Actuators Based on Radial Basis Function. Energies 2017, 10, 1637.

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