High-Speed Trains Automatic Operation with Protection Constraints: A Resilient Nonlinear Gain-based Feedback Control Approach

Shigen Gao; Yuhan Hou; Hairong Dong; Sebastian Stichel; Bin Ning

doi:10.1109/JAS.2019.1911582

Volume 6 Issue 4

Jul. 2019

IEEE/CAA Journal of Automatica Sinica

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Article Navigation > IEEE/CAA Journal of Automatica Sinica > 2019 > 6(4): 992-999

Shigen Gao, Yuhan Hou, Hairong Dong, Sebastian Stichel and Bin Ning, "High-Speed Trains Automatic Operation with Protection Constraints: A Resilient Nonlinear Gain-based Feedback Control Approach," IEEE/CAA J. Autom. Sinica, vol. 6, no. 4, pp. 992-999, Aug. 2019. doi: 10.1109/JAS.2019.1911582

Citation:

Shigen Gao, Yuhan Hou, Hairong Dong, Sebastian Stichel and Bin Ning, "High-Speed Trains Automatic Operation with Protection Constraints: A Resilient Nonlinear Gain-based Feedback Control Approach," IEEE/CAA J. Autom. Sinica, vol. 6, no. 4, pp. 992-999, Aug. 2019. doi: 10.1109/JAS.2019.1911582

Citation:

Shigen Gao, Yuhan Hou, Hairong Dong, Sebastian Stichel and Bin Ning, "High-Speed Trains Automatic Operation with Protection Constraints: A Resilient Nonlinear Gain-based Feedback Control Approach," IEEE/CAA J. Autom. Sinica, vol. 6, no. 4, pp. 992-999, Aug. 2019. doi: 10.1109/JAS.2019.1911582

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High-Speed Trains Automatic Operation with Protection Constraints: A Resilient Nonlinear Gain-based Feedback Control Approach

doi: 10.1109/JAS.2019.1911582

Funds: This work was supported jointly by the National Natural Science Foundation of China (61703033, 61790573), Beijing Natural Science Foundation (4192046), Fundamental Research Funds for Central Universities (2018JBZ002), and State Key Laboratory of Rail Traffic Control and Safety (RCS2018ZT013), Beijing Jiaotong University

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Author Bio:
Shigen Gao received the B.S. degree in Electrical Engineering and Automation from Tianjin University of Technology in 2009, and the Ph.D. degree in Traffic Information Engineering and Control from the State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University in 2016. He is currently an Associate Professor with the State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University. His primary research interests are nonlinear control, neural adaptive control, and their applications

Yuhan Hou received the B.S. degree in Rail Traffic Signal and Control from Beijing Jiaotong University, Beijing, China, in 2018. She is currently working towards the M.S. degree in traffic information engineering and control with the State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, China. Her current research interests is the cooperative control for high-speed trains in moving block system

Hairong Dong (SM’12) received the B.S. and M.S. degrees in automatic control and basic mathematics from Zhengzhou University, China, in 1996 and 1999, respectively, and the Ph.D. degree in general and fundamental mechanics from Peking University, China, in 2002. She is currently a Professor with the State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University. Her research interests include adaptive control nonlinear control, stability and robustness of complex systems, and their applications in intelligent transportation systems

Sebastian Stichel received the M.S. degree in vehicle engineering and the Ph.D. degree from the Institute of Aeronautics and Astronautics, from the Technical University of Berlin, Germany, in 1991 and 1996, respectively. He is currently a Professor with the Devision of Rail Vehicles, KTH Royal Institute of Technology, the Director of the KTH Railway Group, and Chairman of the Department of Aeronautical and Vehicle Engineering. His current research interests are wheel and rail wear and rolling contact fatigue, freight vehicle dynamics, ride comfort and active suspension, dynamic pantographcatenary interaction

Bin Ning (F’15) received the B.S. degree from the Northern Jiaotong University (now Beijing Jiaotong University), Beijing, China, in 1982, where he received both the M.S. and Ph.D. degrees. He is a Professor with the State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, as well as the President of Beijing Jiaotong University. His scientific interests include intelligent control, fault-tolerant control, and their applications in railway systems. Prof. Ning is an Academician of the Chinese Academy of Engineering, the Institution of Railway Signal Engineers, and the IET. He is a Senior Member of the China Railway Society, and a member of the Western Returned Scholars Association
Corresponding author: S. Gao, Y. Hou, H. Dong, and B. Ning are with the State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, China (e-mail: gaoshigen@bjtu.edu.cn; 18120219@bjtu.edu.cn; hrdong_pcm@outlook.com)
Received Date: 2018-10-25
Revised Date: 2019-01-14
Accepted Date: 2019-02-17

Available Online: 2019-05-17

Abstract

Abstract

This paper addresses the control design for automatic train operation of high-speed trains with protection constraints. A new resilient nonlinear gain-based feedback control approach is proposed, which is capable of guaranteeing, under some proper non-restrictive initial conditions, the protection constraints control raised by the distance-to-go (moving authority) curve and automatic train protection in practice. A new hyperbolic tangent function-based model is presented to mimic the whole operation process of high-speed trains. The proposed feedback control methods are easily implementable and computationally inexpensive because the presence of only two feedback gains guarantee satisfactory tracking performance and closed-loop stability, no adaptations of unknown parameters, function approximation of unknown nonlinearities, and attenuation of external disturbances in the proposed control strategies. Finally, rigorous proofs and comparative simulation results are given to demonstrate the effectiveness of the proposed approaches.
- Automatic train operation,
- high-speed train,
- nonlinear gain feedback,
- protection constraint,
- resilient control

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References

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Highlights

A resilient nonlinear gain-based feedback control is designed for the automatic train operation of high-speed trains.
A new hyperbolic tangent function-based model is established to circumvent the countermarch motion when a train stops.
The proposed feedback control is easily implementable and computationally inexpensive with two feedback gains in spite of unknown nonlinearities.

High-Speed Trains Automatic Operation with Protection Constraints: A Resilient Nonlinear Gain-based Feedback Control Approach

doi: 10.1109/JAS.2019.1911582

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