我所殷辰堃老师课题组完成的论文《Modeling and Simulation of the Suspension Guidance System for Passive Guided Maglev Trains》于2023-12在《International Conference on Robotics, Intelligent Control and Artificial Intelligence (RICAI)》正式发表。论文摘要如下：
Abstract: Maglev train is a new type of transportation vehicle. In this paper, the dynamic modeling is studied and simulation of electric maglev system is carried out. Based on the structure of four-wire wrapped electromagnet, the dynamic model of suspended electromagnet and F -rail is established by using the multi-physical field coupling and finite element calculation software COMSOL. The particle swarm algorithm was further used to obtain the force characteristic curve of the suspended electromagnet under different conditions. A method for controlling the suspension current in passive guidance mode was designed based on the rapid fluctuation of guidance force within a migrating value of 4mm and the quadratic relationship outside a migrating value of 4mm. Simulation was conducted to analyze the dynamic impact of the suspension electromagnet with three factors: track irregularity, vehicle mass, and lateral wind force. The dynamic response of the suspension gap and guide gap during the movement of the suspension electromagnet was analyzed, and compared with the original PID control. It was shown that the migrating value of the passive guided maglev train during the movement process can have a serious adverse impact on the suspension stability.
引用信息：Zejin Wu, Shangtai Jin, Chenkun Yin, Zeren Zhao. Modeling and Simulation of the Suspension Guidance System for Passive Guided Maglev Trains. International Conference on Robotics, Intelligent Control and Artificial Intelligence (RICAI), 2023-12. DOI: 10.1109/ricai60863.2023.10489655