西南交通大学学报2026，Vol.61Issue(4)：1117-1129,13.DOI:10.3969/j.issn.0258-2724.20260105
基于粒子群优化的混合磁悬浮系统零功率控制
Zero-Power Control of Hybrid Magnetic Levitation System Based on Particle Swarm Optimization
摘要
Abstract
To effectively suppress the airgap overshoot and collision issues during the zero-power control process of the hybrid permanent magnet electromagnetic levitation system,an adaptive super-twisting sliding mode zero-power controller based on current integral feedback was proposed,and the particle swarm optimization(PSO)algorithm was utilized for online tuning of the current integral coefficient.First,the mathematical model of the hybrid levitation system was established,and a zero-power controller was designed based on the current integral feedback strategy.On this basis,a fast non-singular terminal(FNST)sliding mode surface was constructed to accelerate convergence,and an adaptive dual-mode switching strategy was introduced into the super-twisting sliding mode control to form the zero-power controller,realizing rapid airgap adjustment and tracking under disturbances.To address the problems caused by the fixed integral coefficient in the controller,its impact on the dynamic performance of the system was analyzed.The PSO algorithm was utilized for online optimization of the integral coefficient,enabling it to adjust in real time according to the system state,effectively suppressing airgap overshoot,improving convergence speed,and thereby enhancing the overall control performance.Furthermore,to reduce the risk of track collision during the zero-power control process,airgap velocity information was introduced based on the traditional airgap threshold strategy to construct a"velocity+size"dual criterion,enhancing the collision prediction capability in the vertical direction.Simulation and experimental results indicate that the proposed strategy significantly reduces airgap overshoot and accelerates the convergence process.The overshoot is less than 0.30 mm,and the convergence time is shortened to 0.67 s;compared with the traditional threshold method,the proposed dual criterion advances the decision time by approximately 0.10 s,reduces the airgap overshoot by 1.70 mm,and can more effectively predict and prevent the occurrence of collisions.关键词
磁悬浮/零功率控制/非线性系统/粒子群优化Key words
magnetic levitation/zero-power control/nonlinear system/particle swarm optimization分类
交通工程引用本文复制引用
张孟磊,张立伟,申璐,孟学东,马彬睿,吕尚阳..基于粒子群优化的混合磁悬浮系统零功率控制[J].西南交通大学学报,2026,61(4):1117-1129,13.基金项目
中央高校基本科研业务费专项资金(2025YJS085) （2025YJS085）
