Research on High Speed Train Speed Tracking Anti-Disturbance Controller with Finite-Time Prediction Compensation

As a typical high-order, nonlinear system, high-speed trains have a high requirement for control precision. In order to address the speed tracking control problem of trains during high-speed operation, a finite-time sliding mode- disturbance rejection controller is designed. Firstly, this paper esta...

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Bibliographic Details
Published in2023 IEEE 5th International Conference on Civil Aviation Safety and Information Technology (ICCASIT) pp. 947 - 950
Main Authors Jinsong, Ji, Guangwu, Chen, Jianqiang, Shi, Yongbo, Si, Dongfeng, Xing
Format Conference Proceeding
LanguageEnglish
Published IEEE 11.10.2023
Subjects
control strategy
disturbance rejection control
finite-time control
PD control
Prediction algorithms
Real-time systems
Robustness
Safety
Simulation
Speed tracking
Tracking
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Summary:As a typical high-order, nonlinear system, high-speed trains have a high requirement for control precision. In order to address the speed tracking control problem of trains during high-speed operation, a finite-time sliding mode- disturbance rejection controller is designed. Firstly, this paper establishes the state-space equations of a single mass-spring-damper train based on existing research. For the second-order control system, a finite-time sliding mode controller is designed. To address the issues of significant chattering and time delay in the sliding mode controller, a finite-time control law is designed to optimize the controller structure. Secondly, by treating both internal and external disturbances during train operation as extended state estimates, the robustness of the system is enhanced. The Smith predictor structure is combined to further enhance the system's transient characteristics. Additionally, in specific simulation examples, the tracking performance of the proposed finite-time sliding mode disturbance rejection algorithm is compared with traditional PD control and linear sliding mode control, and its effectiveness is analyzed. The simulation results demonstrate that the proposed algorithm has stronger disturbance rejection capability, higher tracking accuracy, and faster response speed compared to other traditional algorithms. This method holds academic value and practical application potential in other speed tracking and motion control scenarios.
DOI:10.1109/ICCASIT58768.2023.10351500