Citation

Li D, Meng J, Bai H, Xu R. Veh. Syst. Dyn. 2018; 56(7): 1028-1050.

Copyright

(Copyright © 2018, Informa - Taylor and Francis Group)

DOI

10.1080/00423114.2017.1403635

PMID

unavailable

Abstract

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.

Language: en

Keywords

Active control; adaptive predictive control algorithm; giant magnetostrictive actuator; high-speed train; running attitude; strong crosswind