A Survey of Coupled Vibration Characteristics and Control Methods in Maglev Transportation: Challenges, Methods and Progress
Yougang Sun, Fengxing Li, Yang Wang, Xiaoning Zhao, Jinlin Wu, Zipei Rao, Wei Guo, Guobin Lin
Abstract
As an advanced rail transportation technology, maglev trains have emerged as a significant research focus in the transportation field due to their advantages of contactless operation, low energy consumption, and high comfort. However, the vehicle-guideway coupled vibration in EMS-type (Electromagnetic Suspension) maglev systems poses challenges to operational stability, safety, and passenger comfort. This paper reviews the research progress on the mechanisms and control methods of coupled vibration and suppression strategies in maglev systems. First, dynamic modeling methods for maglev systems are introduced, including vehicle modeling, guideway modeling, and coupled vibration modeling. Next, the characteristics of vehicle-guideway coupled vibration are analyzed, focusing on vibration sources, transmission mechanisms, and key influencing factors. Subsequently, vibration suppression strategies are systematically summarized, covering traditional control methods (e.g., linear and nonlinear control), intelligent control approaches (e.g., fuzzy control, reinforcement learning), vehicle-guideway parameter matching optimization and real-time hybrid testing. Finally, future research directions are proposed.