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High-Speed Trains Automatic Operation with Protection Constraints: A Resilient Nonlinear Gain-based Feedback Control Approach
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..
Beijing Jiaotong Univ, State Key Lab Rail Traff Control & Safety, Beijing 100044, Peoples R China..
KTH, School of Engineering Sciences (SCI), Aeronautical and Vehicle Engineering, Rail Vehicles.ORCID iD: 0000-0002-8237-5847
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2019 (English)In: IEEE-CAA JOURNAL OF AUTOMATICA SINICA, Vol. 6, no 4, p. 992-999Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC , 2019. Vol. 6, no 4, p. 992-999
Keywords [en]
Automatic train operation, high-speed train, nonlinear gain feedback, protection constraint, resilient control
National Category
Vehicle Engineering
Identifiers
URN: urn:nbn:se:kth:diva-255480DOI: 10.1109/JAS.2019.1911582ISI: 000474583700011Scopus ID: 2-s2.0-85068787113OAI: oai:DiVA.org:kth-255480DiVA, id: diva2:1352679
Note

QC 20190919

Available from: 2019-09-19 Created: 2019-09-19 Last updated: 2019-10-10Bibliographically approved

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Stichel, Sebastian

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