Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/154289
Title: Novel auxiliary saturation compensation design for neuroadaptive NTSM tracking control of high speed trains with actuator saturation
Authors: Guo, Xiang-Gui
Zhao, Jun-Jie
Li, Hong-Jian
Wang, Jian-Liang
Liao, Fang
Chen, Yang
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2020
Source: Guo, X., Zhao, J., Li, H., Wang, J., Liao, F. & Chen, Y. (2020). Novel auxiliary saturation compensation design for neuroadaptive NTSM tracking control of high speed trains with actuator saturation. Journal of the Franklin Institute, 357(3), 1582-1602. https://dx.doi.org/10.1016/j.jfranklin.2019.11.006
Journal: Journal of the Franklin Institute
Abstract: In this paper, a novel auxiliary saturation compensation system is constructed to eliminate the negative effect of asymmetric nonlinear actuator saturation (ANAS). Two chatter-free neuroadaptive sliding mode tracking control strategies are proposed by combining nonsingular terminal sliding mode (NTSM) control technique with radial basis function neural network (RBFNN) for high speed trains for resp., the actuator saturation-free and ANAS saturation cases. These two control strategies are used to guarantee that the closed-loop signals are bounded and the steady-state tracking errors converge to a residual around zero. The common assumption that the initial velocities of the train and the desired trajectory are zero, is removed in this paper. In addition, the computationally inexpensive strategy contains an optimized NN adaptation mechanism where only one parameter requires online updating no matter how many neurons are chosen. Finally, numerical examples are provided to demonstrate the validity of the proposed control strategies.
URI: https://hdl.handle.net/10356/154289
ISSN: 0016-0032
DOI: 10.1016/j.jfranklin.2019.11.006
Rights: © 2019 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:EEE Journal Articles

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