Event-triggered predictive control of high-speed trains under virtual coupling
To address the control problem of high-speed trains operating under virtual coupling in actual communication environments, an event-triggered multi-trains cooperative tracking predictive control method is proposed considering the limited available resources of the system. Firstly, a multi-trains tra...
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2025-10-01
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| Series: | Automatika |
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| Online Access: | https://www.tandfonline.com/doi/10.1080/00051144.2025.2526146 |
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| _version_ | 1849706680387895296 |
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| author | Jianliang Xu Zhen Sui Xiaohua Wei Feng Xu |
| author_facet | Jianliang Xu Zhen Sui Xiaohua Wei Feng Xu |
| author_sort | Jianliang Xu |
| collection | DOAJ |
| description | To address the control problem of high-speed trains operating under virtual coupling in actual communication environments, an event-triggered multi-trains cooperative tracking predictive control method is proposed considering the limited available resources of the system. Firstly, a multi-trains tracking model is established based on train dynamic equations, and the optimal tracking control problem is formulated according to the train running mechanism. Secondly, addressing the low computational efficiency and resource wastage in model predictive control, an event-triggered mechanism is introduced to enhance system real-time performance by incorporating judgment conditions during optimization problem-solving. Furthermore, the feasibility and stability of this control method are validated through theoretical analysis. Simulation results indicate that the speed and distance root-mean-square errors of the multi-trains obtained by the proposed control method are 6.25×10−4 and 1.8×10−4 respectively, indicating that the proposed method has good control and tracking performance. With the increase of trigger parameters, the number of triggers is reduced from 2500 to 799, and the calculation time is also reduced by about 51.7%, which further improves the resource utilization of the control system. It can be seen that the control method in this paper can well solve the multi-trains tracking control problem under the condition of resource limitation. |
| format | Article |
| id | doaj-art-9dbc7777696a47bd9f993ff6010b7170 |
| institution | DOAJ |
| issn | 0005-1144 1848-3380 |
| language | English |
| publishDate | 2025-10-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Automatika |
| spelling | doaj-art-9dbc7777696a47bd9f993ff6010b71702025-08-20T03:16:07ZengTaylor & Francis GroupAutomatika0005-11441848-33802025-10-01664112110.1080/00051144.2025.2526146Event-triggered predictive control of high-speed trains under virtual couplingJianliang Xu0Zhen Sui1Xiaohua Wei2Feng Xu3School of Mechanical Engineering, Quzhou College and Technology, Quzhou, People’s Republic of China College of Communication Engineering, Jilin University, Changchun, People’s Republic of ChinaSchool of Mechanical Engineering, Quzhou College and Technology, Quzhou, People’s Republic of China School of Mechanical Engineering, Quzhou College and Technology, Quzhou, People’s Republic of China To address the control problem of high-speed trains operating under virtual coupling in actual communication environments, an event-triggered multi-trains cooperative tracking predictive control method is proposed considering the limited available resources of the system. Firstly, a multi-trains tracking model is established based on train dynamic equations, and the optimal tracking control problem is formulated according to the train running mechanism. Secondly, addressing the low computational efficiency and resource wastage in model predictive control, an event-triggered mechanism is introduced to enhance system real-time performance by incorporating judgment conditions during optimization problem-solving. Furthermore, the feasibility and stability of this control method are validated through theoretical analysis. Simulation results indicate that the speed and distance root-mean-square errors of the multi-trains obtained by the proposed control method are 6.25×10−4 and 1.8×10−4 respectively, indicating that the proposed method has good control and tracking performance. With the increase of trigger parameters, the number of triggers is reduced from 2500 to 799, and the calculation time is also reduced by about 51.7%, which further improves the resource utilization of the control system. It can be seen that the control method in this paper can well solve the multi-trains tracking control problem under the condition of resource limitation.https://www.tandfonline.com/doi/10.1080/00051144.2025.2526146Virtual coupling technologymulti-trains cooperative controlevent triggering mechanismmodel predictive controlstability |
| spellingShingle | Jianliang Xu Zhen Sui Xiaohua Wei Feng Xu Event-triggered predictive control of high-speed trains under virtual coupling Automatika Virtual coupling technology multi-trains cooperative control event triggering mechanism model predictive control stability |
| title | Event-triggered predictive control of high-speed trains under virtual coupling |
| title_full | Event-triggered predictive control of high-speed trains under virtual coupling |
| title_fullStr | Event-triggered predictive control of high-speed trains under virtual coupling |
| title_full_unstemmed | Event-triggered predictive control of high-speed trains under virtual coupling |
| title_short | Event-triggered predictive control of high-speed trains under virtual coupling |
| title_sort | event triggered predictive control of high speed trains under virtual coupling |
| topic | Virtual coupling technology multi-trains cooperative control event triggering mechanism model predictive control stability |
| url | https://www.tandfonline.com/doi/10.1080/00051144.2025.2526146 |
| work_keys_str_mv | AT jianliangxu eventtriggeredpredictivecontrolofhighspeedtrainsundervirtualcoupling AT zhensui eventtriggeredpredictivecontrolofhighspeedtrainsundervirtualcoupling AT xiaohuawei eventtriggeredpredictivecontrolofhighspeedtrainsundervirtualcoupling AT fengxu eventtriggeredpredictivecontrolofhighspeedtrainsundervirtualcoupling |