Adaptive Model Predictive Control for Cruise Control of High-Speed Trains with Time-Varying Parameters
The cruise control of high-speed trains is challenging due to the presence of time-varying air resistance coefficients and control constrains. Because the resistance coefficients for high-speed trains are not accurately known and will change with the actual operating environment, the precision of hi...
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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2019-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2019/7261726 |
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| _version_ | 1850232035266789376 |
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| author | Xiaokang Xu Jun Peng Rui Zhang Bin Chen Feng Zhou Yingze Yang Kai Gao Zhiwu Huang |
| author_facet | Xiaokang Xu Jun Peng Rui Zhang Bin Chen Feng Zhou Yingze Yang Kai Gao Zhiwu Huang |
| author_sort | Xiaokang Xu |
| collection | DOAJ |
| description | The cruise control of high-speed trains is challenging due to the presence of time-varying air resistance coefficients and control constrains. Because the resistance coefficients for high-speed trains are not accurately known and will change with the actual operating environment, the precision of high speed train model is lower. In order to ensure the safe and effective operation of the train, the operating conditions of the train must meet the safety constraints. The most traditional cruise control methods are PID control, model predictive control, and so on, in which the high-speed train model is identified offline. However, the traditional methods typically suffer from performance degradations in the presence of time-varying resistance coefficients. In this paper, an adaptive model predictive control (MPC) method is proposed for cruise control of high-speed trains with time-varying resistance coefficients. The adaptive MPC is designed by combining an adaptive updating law for estimated parameters and a multiply constrained MPC for the estimated system. It is proved theoretically that, with the proposed adaptive MPC, the high-speed trains track the desired speed with ultimately bounded tracking errors, while the estimated parameters are bounded and the relative spring displacement between the two neighboring cars is stable at the equilibrium state. Simulations results validate that proposed method is better than the traditional model predictive control. |
| format | Article |
| id | doaj-art-08a1f7fec2e44df3bd46690b1fb7ddd7 |
| institution | OA Journals |
| issn | 0197-6729 2042-3195 |
| language | English |
| publishDate | 2019-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-08a1f7fec2e44df3bd46690b1fb7ddd72025-08-20T02:03:19ZengWileyJournal of Advanced Transportation0197-67292042-31952019-01-01201910.1155/2019/72617267261726Adaptive Model Predictive Control for Cruise Control of High-Speed Trains with Time-Varying ParametersXiaokang Xu0Jun Peng1Rui Zhang2Bin Chen3Feng Zhou4Yingze Yang5Kai Gao6Zhiwu Huang7School of Information Science and Engineering, Central South University, Changsha 410000, ChinaSchool of Information Science and Engineering, Central South University, Changsha 410000, ChinaSchool of Information Science and Engineering, Central South University, Changsha 410000, ChinaSchool of Information Science and Engineering, Central South University, Changsha 410000, ChinaChangsha University of Science and Technology, Changsha 410000, ChinaSchool of Information Science and Engineering, Central South University, Changsha 410000, ChinaChangsha University of Science and Technology, Changsha 410000, ChinaSchool of Information Science and Engineering, Central South University, Changsha 410000, ChinaThe cruise control of high-speed trains is challenging due to the presence of time-varying air resistance coefficients and control constrains. Because the resistance coefficients for high-speed trains are not accurately known and will change with the actual operating environment, the precision of high speed train model is lower. In order to ensure the safe and effective operation of the train, the operating conditions of the train must meet the safety constraints. The most traditional cruise control methods are PID control, model predictive control, and so on, in which the high-speed train model is identified offline. However, the traditional methods typically suffer from performance degradations in the presence of time-varying resistance coefficients. In this paper, an adaptive model predictive control (MPC) method is proposed for cruise control of high-speed trains with time-varying resistance coefficients. The adaptive MPC is designed by combining an adaptive updating law for estimated parameters and a multiply constrained MPC for the estimated system. It is proved theoretically that, with the proposed adaptive MPC, the high-speed trains track the desired speed with ultimately bounded tracking errors, while the estimated parameters are bounded and the relative spring displacement between the two neighboring cars is stable at the equilibrium state. Simulations results validate that proposed method is better than the traditional model predictive control.http://dx.doi.org/10.1155/2019/7261726 |
| spellingShingle | Xiaokang Xu Jun Peng Rui Zhang Bin Chen Feng Zhou Yingze Yang Kai Gao Zhiwu Huang Adaptive Model Predictive Control for Cruise Control of High-Speed Trains with Time-Varying Parameters Journal of Advanced Transportation |
| title | Adaptive Model Predictive Control for Cruise Control of High-Speed Trains with Time-Varying Parameters |
| title_full | Adaptive Model Predictive Control for Cruise Control of High-Speed Trains with Time-Varying Parameters |
| title_fullStr | Adaptive Model Predictive Control for Cruise Control of High-Speed Trains with Time-Varying Parameters |
| title_full_unstemmed | Adaptive Model Predictive Control for Cruise Control of High-Speed Trains with Time-Varying Parameters |
| title_short | Adaptive Model Predictive Control for Cruise Control of High-Speed Trains with Time-Varying Parameters |
| title_sort | adaptive model predictive control for cruise control of high speed trains with time varying parameters |
| url | http://dx.doi.org/10.1155/2019/7261726 |
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