Sliding mode active disturbance rejection adhesion control method of high-speed train

被引：0
|
作者：
Li Z.-Q. [1 ,2 ]
Huang L.-J. [1 ,2 ]
Zhou L. [1 ,2 ]
Yang H. [1 ,2 ]
Tang B.-W. [1 ,2 ]
机构：
[1] School of Electrical and Automation Engineering, East China Jiaotong University, Jiangxi, Nanchang
[2] State Key Laboratory of Performance Monitoring and Protecting of Rail Transit Infrastructure, East China Jiaotong University, Jiangxi, Nanchang
来源：
Jiaotong Yunshu Gongcheng Xuebao/Journal of Traffic and Transportation Engineering | 2023年 / 23卷 / 02期
基金：
中国国家自然科学基金;
关键词：
active disturbance rejection control; adhesion control; high-speed train; maximum likelihood estimation; sliding mode control; wheel-rail model;
D O I：
10.19818/j.cnki.1671-1637.2023.02.018
中图分类号：
学科分类号：
摘要：
In order to solve the problems of idling or sliding due to the change of rail surface during the operation of high-speed train so that train did not reach the maximum adhesive utilization, a sliding mode active disturbance rejection controller (SM-ADRC) of adhesion based on the maximum adhesion coefficient was designed. Considering the complex, time-varying and nonlinear characteristics of wheel-rail adhesion, a mechanical model of wheel-rail traction system was established based on the analysis of adhesion mechanism. The maximum likelihood estimation (MLE) method was used to identify the relevant parameters of different rail surfaces, and the maximum adhesion coefficient of the current rail surface was calculated to ensure that the train could always achieve the maximum adhesion utilization. The nonlinear error feedback control law in the active disturbance rejection control (ADRC) was improved by introducing the sliding mode algorithm, a SM-ADRC algorithm of adhesion was designed, the Levant tracking differentiator was used to reduce the initial tracking error, and the extended state observer (ESO) was used to estimate and compensate the total external disturbance of the system. The robustness of the system was improved by the sliding mode control. The CRH380A high-speed train was simulated by the MATLAB software. When the rail surface condition changed, the SM-ADRC of adhesion controlled the train to track the set speed, and was compared with the proportional-integral-differential (PID) controller, sliding mode controller and ADRC in the simulation results. Simulation results show that the maximum adhesion coefficient of the dry rail surface is 0. 160, and the true value is identified at 16 s. The maximum adhesion coefficient of the wet rail surface is 0. 106, and the true value is identified at 18 s. The speed tracking error range of the ADRC is within ±1 km • h-1, and the speed tracking error fluctuates greatly after the rail surface changes. The speed tracking error range of the SM-ADRC of adhesion is within ± 0. 4 km • h-1. After the rail surface changes, the speed tracking error fluctuates less, and the speed is more smooth and stable. The speed control tracking accuracy is higher than PID and sliding mode control methods. It can be seen that the proposed SM-ADRC of adhesion can realize the fast adhesion control of the train and achieve the maximum adhesion utilization. 2 tabs, 9 figs, 44 refs. © 2023 Chang'an University. All rights reserved.
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页码：251 / 263
页数：12
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