Robust Adaptive Dynamic Surface Control for High-speed Train with Input Constraints

被引：0
|
作者：
Xu C. [1 ,2 ]
Chen X. [1 ]
Ding L. [1 ,3 ]
Wang Y. [2 ]
Li W. [2 ]
机构：
[1] School of Electrical Engineering, Dalian University of Technology, Dalian
[2] School of Electronics and Information Engineering, Dalian Jiaotong University, Dalian
[3] School of Information Engineering, Dalian Ocean University, Dalian
来源：
Tiedao Xuebao/Journal of the China Railway Society | 2020年 / 42卷 / 06期
关键词：
Adaptive dynamic surface control; Extended state observer; High-speed train; Input constraints; Tracking control; Tracking differentiator;
D O I：
10.3969/j.issn.1001-8360.2020.06.008
中图分类号：
学科分类号：
摘要：
The accurate tracking on desired speed and position of high-speed train(HST) is of vital importance. This paper investigated the robust adaptive dynamic surface control of HST with input saturation constraints and system uncertainties caused by the uncertain running resistance,the unknown viscous friction coefficients and the unmeasured states. Firstly,the dynamic model of HST was established considering the traction and braking torque generation dynamics. Secondly, a robust adaptive dynamics control law was presented, in which the extended state observer (ESO) was introduced to estimate and compensate the total uncertainties of the system. A tracking differentiator (TD) was adopted to replace the first-order filter in dynamic surface control while an additional system was designed to handle the input constraints. Finally,the stability of the closed-loop system and the semi-global uniformly ultimate boundedness of the speed tracking errors and position tracking errors of HST were guaranteed based on Lyapunov stability analysis. Simulation results show the effectiveness of the proposed method. © 2020, Department of Journal of the China Railway Society. All right reserved.
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页码：56 / 63
页数：7
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