An Adaptive Model Predictive Control System for Virtual Coupling in Metros
Virtual coupling (VC) is an emerging concept and hot research topic in railways, especially for metro systems. Several unit trains in VC drive with a desired minimum distance, and they, as a whole, are regarded as a single train. In this work, a distributed adaptive model predictive control (AMPC) s...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-08-01
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| Series: | Actuators |
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| Online Access: | https://www.mdpi.com/2076-0825/10/8/178 |
| _version_ | 1827686325701050368 |
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| author | Xiaolin Luo Tao Tang Hongjie Liu Lei Zhang Kaicheng Li |
| author_facet | Xiaolin Luo Tao Tang Hongjie Liu Lei Zhang Kaicheng Li |
| author_sort | Xiaolin Luo |
| collection | DOAJ |
| description | Virtual coupling (VC) is an emerging concept and hot research topic in railways, especially for metro systems. Several unit trains in VC drive with a desired minimum distance, and they, as a whole, are regarded as a single train. In this work, a distributed adaptive model predictive control (AMPC) system is proposed to coordinate the driving of each unit train in VC. To obtain the accurate parameters of train dynamics model in a time varying environment, an estimator of the train dynamics model is designed for each AMPC controller. A variable step descent algorithm along the negative gradient direction is adopted for each estimator, which steers the estimated values of the parameters to real ones. Simulations are conducted and the results are compared with both nominal model predictive control system and AMPC system with fixed steps in the literature. Our proposed AMPC system with variable step (AMPCVS) has better performances than other two systems. Results indicate that there is an improvement of the proposed AMPC system with variable steps system when compared with other two existed systems. A running process of VC in a whole inter-station is also simulated here. Experimental results show that the trains track the desired objective well. |
| first_indexed | 2024-03-10T09:06:42Z |
| format | Article |
| id | doaj.art-e2779dcc56534c6185dfaac2637ed9d0 |
| institution | Directory Open Access Journal |
| issn | 2076-0825 |
| language | English |
| last_indexed | 2024-03-10T09:06:42Z |
| publishDate | 2021-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Actuators |
| spelling | doaj.art-e2779dcc56534c6185dfaac2637ed9d02023-11-22T06:21:10ZengMDPI AGActuators2076-08252021-08-0110817810.3390/act10080178An Adaptive Model Predictive Control System for Virtual Coupling in MetrosXiaolin Luo0Tao Tang1Hongjie Liu2Lei Zhang3Kaicheng Li4School of Electronics and Information Engineering, Beijing Jiaotong University, Beijing 100044, ChinaState Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, ChinaSchool of Electronics and Information Engineering, Beijing Jiaotong University, Beijing 100044, ChinaSchool of Electronics and Information Engineering, Beijing Jiaotong University, Beijing 100044, ChinaSchool of Electronics and Information Engineering, Beijing Jiaotong University, Beijing 100044, ChinaVirtual coupling (VC) is an emerging concept and hot research topic in railways, especially for metro systems. Several unit trains in VC drive with a desired minimum distance, and they, as a whole, are regarded as a single train. In this work, a distributed adaptive model predictive control (AMPC) system is proposed to coordinate the driving of each unit train in VC. To obtain the accurate parameters of train dynamics model in a time varying environment, an estimator of the train dynamics model is designed for each AMPC controller. A variable step descent algorithm along the negative gradient direction is adopted for each estimator, which steers the estimated values of the parameters to real ones. Simulations are conducted and the results are compared with both nominal model predictive control system and AMPC system with fixed steps in the literature. Our proposed AMPC system with variable step (AMPCVS) has better performances than other two systems. Results indicate that there is an improvement of the proposed AMPC system with variable steps system when compared with other two existed systems. A running process of VC in a whole inter-station is also simulated here. Experimental results show that the trains track the desired objective well.https://www.mdpi.com/2076-0825/10/8/178virtual couplingmetrosmodel predictive controlautomatic train operation |
| spellingShingle | Xiaolin Luo Tao Tang Hongjie Liu Lei Zhang Kaicheng Li An Adaptive Model Predictive Control System for Virtual Coupling in Metros Actuators virtual coupling metros model predictive control automatic train operation |
| title | An Adaptive Model Predictive Control System for Virtual Coupling in Metros |
| title_full | An Adaptive Model Predictive Control System for Virtual Coupling in Metros |
| title_fullStr | An Adaptive Model Predictive Control System for Virtual Coupling in Metros |
| title_full_unstemmed | An Adaptive Model Predictive Control System for Virtual Coupling in Metros |
| title_short | An Adaptive Model Predictive Control System for Virtual Coupling in Metros |
| title_sort | adaptive model predictive control system for virtual coupling in metros |
| topic | virtual coupling metros model predictive control automatic train operation |
| url | https://www.mdpi.com/2076-0825/10/8/178 |
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