Cooperative maximum adhesion tracking control for multi-motor electric locomotives
Purpose – This study aims to propose a cooperative adhesion control method for trains with multiple motors electric locomotives. The method is intended to optimize the output torque of each motor, maximize the utilization of train adhesion within the total torque command, reduce the train skidding/s...
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| Format: | Article |
| Language: | English |
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Emerald Publishing
2025-02-01
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| Series: | Railway Sciences |
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| Online Access: | https://www.emerald.com/insight/content/doi/10.1108/RS-11-2024-0049/full/pdf |
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| author | Leiting Zhao Yongxiang Wang Kan Liu Liran Li Jingyuan Zhan Qingliang Liu |
| author_facet | Leiting Zhao Yongxiang Wang Kan Liu Liran Li Jingyuan Zhan Qingliang Liu |
| author_sort | Leiting Zhao |
| collection | DOAJ |
| description | Purpose – This study aims to propose a cooperative adhesion control method for trains with multiple motors electric locomotives. The method is intended to optimize the output torque of each motor, maximize the utilization of train adhesion within the total torque command, reduce the train skidding/sliding phenomenon and achieve optimal adhesion utilization for each axle, thus realizing the optimal allocation of the multi-motor electric locomotives. Design/methodology/approach – In this study, a model predictive control (MPC)-based cooperative maximum adhesion tracking control method for multi-motor electric locomotives is presented. Firstly, train traction system with multiple motors is constructed in accordance with Newton’s second law. These equations include the train dynamics equations, the axle dynamics equations, and the wheel-rail adhesion coefficient equations. Then, a new MPC-based multi-axle adhesion co-optimization method is put forward. This method calculates the optimal output torque through real-time iteration based on the known reference slip speed to achieve multi-axle co-optimization under different circumstances. Findings – This paper presents a MPC system designed for the cooperative control of multi-axle adhesion. The results indicate that the proposed control system is able to optimize the adhesion of multiple axles under numerous different conditions and achieve the optimal power distribution based on the reduction of train skidding/sliding. Originality/value – This study presents a novel cooperative adhesion tracking control scheme. It is designed for multi-motor electric locomotives, which has rarely been studied before. And simulations are carried out in different conditions, including variable surfaces and motor failing. |
| format | Article |
| id | doaj-art-30a93bdba0c24827a9be3dda78d62e2d |
| institution | Kabale University |
| issn | 2755-0907 2755-0915 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Emerald Publishing |
| record_format | Article |
| series | Railway Sciences |
| spelling | doaj-art-30a93bdba0c24827a9be3dda78d62e2d2025-02-05T07:11:01ZengEmerald PublishingRailway Sciences2755-09072755-09152025-02-0141223610.1108/RS-11-2024-0049Cooperative maximum adhesion tracking control for multi-motor electric locomotivesLeiting Zhao0Yongxiang Wang1Kan Liu2Liran Li3Jingyuan Zhan4Qingliang Liu5AC Transmission Department, China Academy of Railway Sciences Corporation Limited, Beijing, ChinaAC Transmission Department, China Academy of Railway Sciences Corporation Limited, Beijing, ChinaLocomotive and Car Research Institute, China Academy of Railway Sciences Corporation Limited, Beijing, ChinaAC Transmission Department, China Academy of Railway Sciences Corporation Limited, Beijing, ChinaSchool of Information Science and Technology, Beijing University of Technology, Beijing, ChinaSchool of Information Science and Technology, Beijing University of Technology, Beijing, ChinaPurpose – This study aims to propose a cooperative adhesion control method for trains with multiple motors electric locomotives. The method is intended to optimize the output torque of each motor, maximize the utilization of train adhesion within the total torque command, reduce the train skidding/sliding phenomenon and achieve optimal adhesion utilization for each axle, thus realizing the optimal allocation of the multi-motor electric locomotives. Design/methodology/approach – In this study, a model predictive control (MPC)-based cooperative maximum adhesion tracking control method for multi-motor electric locomotives is presented. Firstly, train traction system with multiple motors is constructed in accordance with Newton’s second law. These equations include the train dynamics equations, the axle dynamics equations, and the wheel-rail adhesion coefficient equations. Then, a new MPC-based multi-axle adhesion co-optimization method is put forward. This method calculates the optimal output torque through real-time iteration based on the known reference slip speed to achieve multi-axle co-optimization under different circumstances. Findings – This paper presents a MPC system designed for the cooperative control of multi-axle adhesion. The results indicate that the proposed control system is able to optimize the adhesion of multiple axles under numerous different conditions and achieve the optimal power distribution based on the reduction of train skidding/sliding. Originality/value – This study presents a novel cooperative adhesion tracking control scheme. It is designed for multi-motor electric locomotives, which has rarely been studied before. And simulations are carried out in different conditions, including variable surfaces and motor failing.https://www.emerald.com/insight/content/doi/10.1108/RS-11-2024-0049/full/pdfCooperative controlAdhesion controlModel predictive controlSlip prevent |
| spellingShingle | Leiting Zhao Yongxiang Wang Kan Liu Liran Li Jingyuan Zhan Qingliang Liu Cooperative maximum adhesion tracking control for multi-motor electric locomotives Railway Sciences Cooperative control Adhesion control Model predictive control Slip prevent |
| title | Cooperative maximum adhesion tracking control for multi-motor electric locomotives |
| title_full | Cooperative maximum adhesion tracking control for multi-motor electric locomotives |
| title_fullStr | Cooperative maximum adhesion tracking control for multi-motor electric locomotives |
| title_full_unstemmed | Cooperative maximum adhesion tracking control for multi-motor electric locomotives |
| title_short | Cooperative maximum adhesion tracking control for multi-motor electric locomotives |
| title_sort | cooperative maximum adhesion tracking control for multi motor electric locomotives |
| topic | Cooperative control Adhesion control Model predictive control Slip prevent |
| url | https://www.emerald.com/insight/content/doi/10.1108/RS-11-2024-0049/full/pdf |
| work_keys_str_mv | AT leitingzhao cooperativemaximumadhesiontrackingcontrolformultimotorelectriclocomotives AT yongxiangwang cooperativemaximumadhesiontrackingcontrolformultimotorelectriclocomotives AT kanliu cooperativemaximumadhesiontrackingcontrolformultimotorelectriclocomotives AT liranli cooperativemaximumadhesiontrackingcontrolformultimotorelectriclocomotives AT jingyuanzhan cooperativemaximumadhesiontrackingcontrolformultimotorelectriclocomotives AT qingliangliu cooperativemaximumadhesiontrackingcontrolformultimotorelectriclocomotives |