Active control strategy for the running attitude of high-speed train under strong crosswind condition. Issue 7 (3rd July 2018)

• Record Type: Journal Article
• Authors: Li, Decang; Meng, Jianjun; Bai, Huan; Xu, Ruxun
• Is Part Of: Vehicle system dynamics. Volume 56:Issue 7(2018)
• Page Start: 1028
• Page End: 1050
• Publication Date: 2018-07-03
• Subjects: Active control -- running attitude -- high-speed train -- adaptive predictive control algorithm -- strong crosswind -- giant magnetostrictive actuator; Motor vehicles -- Dynamics -- Periodicals; Electronic journals; 629.231
• DOI: 10.1080/00423114.2017.1403635
• Languages: English
• ISSNs: 0042-3114

Abstract

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.