@article{ref1,
title="Active control strategy for the running attitude of high-speed train under strong crosswind condition",
journal="Vehicle system dynamics",
year="2018",
author="Li, Decang and Meng, Jianjun and Bai, Huan and Xu, Ruxun",
volume="56",
number="7",
pages="1028-1050",
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.<p /> <p>Language: en</p>",
language="en",
issn="0042-3114",
doi="10.1080/00423114.2017.1403635",
url="http://dx.doi.org/10.1080/00423114.2017.1403635"
}