Active control strategy for the running attitude of high-speed train under strong crosswind condition
This paper focuses on the safety of high-speed trains under strong crosswind conditions. A new active control strategy is proposed based on the adaptive predictive control theory. The new control strategy aims at adjusting the attitudes of a train by controlling the new-type intelligent giant magnetostrictive actuator (GMA). It combined adaptive control with dynamic matrix control; parameters of predictive controller was real-time adjusted by online distinguishing to enhance the robustness of the control algorithm. On this basis, a correction control algorithm is also designed to regulate the parameters of predictive controller based on the step response of a controlled objective. Finally, the simulation results show that the proposed control strategy can adjust the running attitudes of high-speed trains under strong crosswind conditions; they also indicate that the new active control strategy is effective and applicable in improving the safety performance of a train based on a host–target computer technology provided by Matlab/Simulink.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/00423114
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Supplemental Notes:
- © 2017 Informa UK Limited, trading as Taylor & Francis Group. Abstract republished with permission of Taylor & Francis.
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Authors:
- Li, Decang
- Meng, Jianjun
- Bai, Huan
- Xu, Ruxun
- Publication Date: 2018-7
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 1028-1050
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Serial:
- Vehicle System Dynamics
- Volume: 56
- Issue Number: 7
- Publisher: Taylor & Francis
- ISSN: 0042-3114
- EISSN: 1744-5159
- Serial URL: https://www.tandfonline.com/toc/nvsd20/current
Subject/Index Terms
- TRT Terms: Actuators; Adaptive control; Algorithms; Crosswinds; High speed rail
- Identifier Terms: Matlab/SIMULINK (Computer program)
- Uncontrolled Terms: Magnetostrictive sensors; Predictive control
- Subject Areas: Railroads; Vehicles and Equipment;
Filing Info
- Accession Number: 01673282
- Record Type: Publication
- Files: TRIS
- Created Date: Jun 25 2018 1:49PM