西南交通大学学报2025，Vol.60Issue(4)：833-841,864,10.DOI:10.3969/j.issn.0258-2724.20230516
高速磁浮列车导向系统的优化控制方法
Optimized Control Method for Guidance System of High-Speed Maglev Train
摘要
Abstract
To further enhance the control performance of the guidance system for high-speed maglev trains,the guidance system was taken as the research subject,and the design and simulation of a guidance controller were carried out based on the mathematical model of a jointed guidance system.The behavior of the maglev train navigating through curves was analyzed under two operating conditions:different velocities while navigating curves and varying magnitudes of lateral disturbance forces.A mathematical model incorporating these disturbances was developed,and a nominal guidance controller was designed using the linear quadratic regulator(LQR)method.The controller parameters were then optimized using a particle swarm optimization(PSO)algorithm.A simulation model of the guidance system was established,and the system's responses under the two specific operating conditions were analyzed using a simulation platform.A comparison between the algorithms before and after optimization was conducted.The results indicate that,under simulated disturbance forces of 1 kN,2 kN,and 3 kN,the fluctuation amplitudes of the guidance gap are reduced by 9.46%,9.70%,and 11.82%,respectively.Furthermore,the recovery velocity of the guidance gap is improved with the optimized algorithm compared to the pre-optimization version.The optimized algorithm also improves the train's performance when navigating curves and when subjected to crosswind disturbances.关键词
磁浮列车/导向系统/粒子群/优化控制Key words
maglev train/guidance system/particle swarm optimization/optimized control分类
信息技术与安全科学引用本文复制引用
王志强,郭伟鹏,桑孜良,李博文,龙志强,李晓龙..高速磁浮列车导向系统的优化控制方法[J].西南交通大学学报,2025,60(4):833-841,864,10.基金项目
国家自然科学基金项目(52332011,52402456) （52332011,52402456）
湖南省自然科学基金项目(2022JJ40560) （2022JJ40560）
