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.

• Record URL:
  https://doi.org/10.1080/00423114.2017.1403635
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/00423114
• Supplemental Notes:
  • © 2017 Informa UK Limited, trading as Taylor & Francis Group. Abstract republished with permission of Taylor & Francis.
• 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
• 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