摘要
单点电磁悬浮系统是常导电磁悬浮列车的核心部件,其悬浮控制性能直接影响磁悬浮列车在复杂工况下的运行稳定性和安全性。针对磁悬浮列车在复杂工况下的运行特性,以及运行过程中可能遇到的未知扰动,提出了一种基于扩张状态观测器(ESO)的模型预测控制(MPC)的控制策略。首先,根据常导电磁悬浮列车的机械结构和工作原理,对单点电磁悬浮系统进行建模,并分析其稳定性。然后,设计了基于PI控制策略的电流内环控制器和基于ESO-MPC控制策略的位置外环控制器组成的串级控制结构。其中,ESO用于估计系统状态和外部扰动,将估计结果引入MPC的目标代价函数,通过滚动时域优化机制输出预测控制律,进而降低模型失配对控制精度的影响。数值仿真结果表明,所提出的ESO-MPC控制策略相比传统模型预测控制策略和PID控制策略,在控制精度和抗干扰能力上有显著提升。
The single-point electromagnetic levitation system,as a core component of normal-conduction electromagnetic levitation trains,critically determines operational stability and safety under complex working conditions through its levitation control performance.To address the operational characteristics of maglev trains in complex scenarios and potential unknown disturbances during operation,this paper proposes an ESO-MPC control strategy integrating an Extended State Observer(ESO)with Model Predictive Control(MPC).First,system modeling and stability analysis were performed based on the mechanical structure and operational principles of normal-conduction electromagnetic levitation trains.Subsequently,a cascaded control architecture was designed,consisting of a PI-based current inner-loop controller and an ESO-MPC-based position outer-loop controller.The ESO is utilized to estimate system states and external disturbances,with the estimated results incorporated into the objective cost function of MPC.A predictive control law is generated through a rolling-horizon optimization mechanism to mitigate the impact of model mismatch on control accuracy.Numerical simulations demonstrate that compared to conventional MPC and PID control strategies,the proposed ESO-MPC strategy achieves significant improvements in both control precision and disturbance rejection capability.
作者
郭辉
杨杰
吴棋龙
胡海林
丰富
GUO Hui;YANG Jie;WU Qi-long;HU Hai-lin;FENG Fu(School of Electrical Engineering and Automation,Jiangxi University of Science and Technology,Ganzhou 34100,China;Jiangxi Provincial Key Laboratory of Maglev Rail Transit Equipment,Ganzhou 34100,China)
出处
《磁性材料及器件》
2025年第3期43-49,共7页
Journal of Magnetic Materials and Devices
基金
国家重点研发计划项目(2023YFB4302100)。
关键词
电磁悬浮系统
模型预测控制
扩张状态观测器
悬浮控制
Electromagnetic levitation system
Model predictive control
Extended state observer
Magnetic levitation control
