Research on precise train parking based on intelligent control algorithm

Zhengsheng Qi; Bohong Liu; Yunlong Jia

doi:10.1117/12.2639370

27 June 2022 Research on precise train parking based on intelligent control algorithm

Zhengsheng Qi, Bohong Liu, Yunlong Jia

Proceedings Volume 12253, International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2022); 1225302 (2022) https://doi.org/10.1117/12.2639370
Event: Second International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2022), 2022, Qingdao, China

Abstract

High speed train automatic driving system (ATO) is one of the means to further enhance the efficiency, comfort and energy saving of high-speed trains. Its goal is to ensure the safety and precision parking of trains at the predetermined location, while ensuring the comfort of passengers during the parking process. Aiming at the high repeatability of the process of high-speed train parking in the station, and the high-speed train is a strong coupling complex nonlinear system, while avoiding the frequent switching of control output, an accurate parking control model based on Fuzzy PID iterative control is proposed. And the high-speed train is a strong coupling complex nonlinear system, while avoiding frequent switching of control output. The differential equation of the train braking model is obtained by the analysis of the train traction braking system, and then the learning parameters of the system gradient and convergence conditions are obtained. The fuzzy PID iterative control can effectively realize the correct parking of the train through the related simulation tests, and has significant robustness to the uncertainty of train parameters and the repeated uncertainty in the parking stage.

Citation Download Citation

Zhengsheng Qi, Bohong Liu, and Yunlong Jia "Research on precise train parking based on intelligent control algorithm", Proc. SPIE 12253, International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2022), 1225302 (27 June 2022); https://doi.org/10.1117/12.2639370

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