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

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

Gao, Shigen (author): Beijing Jiaotong Univ, State Key Lab Rail Traff Control & Safety, Beijing 100044, Peoples R China.

Hou, Yuhan (author): Beijing Jiaotong Univ, State Key Lab Rail Traff Control & Safety, Beijing 100044, Peoples R China.

Dong, Hairong (author): Beijing Jiaotong Univ, State Key Lab Rail Traff Control & Safety, Beijing 100044, Peoples R China.

Ning, Bin (author): Beijing Jiaotong Univ, State Key Lab Rail Traff Control & Safety, Beijing 100044, Peoples R China.

Beijing Jiaotong Univ, State Key Lab Rail Traff Control & Safety, Beijing 100044, Peoples R China Spårfordon (creator_code:org_t)

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2019
2019
English.
In: IEEE-CAA JOURNAL OF AUTOMATICA SINICA. - : IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC. - 2329-9266. ; 6:4, s. 992-999

Related links:: https://urn.kb.se/re...; show more...; https://doi.org/10.1...; show less...

Abstract Subject headings

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.

By the author/editor: Gao, Shigen; Hou, Yuhan; Dong, Hairong; Stichel, Sebasti ...; Ning, Bin

About the subject

ENGINEERING AND TECHNOLOGY: ENGINEERING AND ...; and Mechanical Engin ...; and Vehicle Engineer ...

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