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Volume 6 Issue 4
Jul.  2019

IEEE/CAA Journal of Automatica Sinica

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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

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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  • 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.

     

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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.

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