Design of Maglev Controller Considering Track Influence
Liu HengKunTu JunLiu XiCai Zheng ZhengYang YiLing
Hunan Lingxiang Maglev Technology Co.Ltd
摘要：For the maglev control system, when considering the elasticity of the track, the order of the system model is high, the controller design is complex, and the practicability is poor. In order to reduce the complexity of the controller design and enhance the practicability of the controller, the Hankel norm approximation method is used to reduce the order of the model. The reduced model is taken as the object to design the controller, and then the controller is applied to the original system model. The simulation results show that the controller designed by the reduced order method can achieve good control performance.
5th International Conference on Control Engineering and Artificial Intelligence （CCEAI 2021）
铁路运输; 铁路运输; 自动化技术