Levitation chassis dynamic analysis and robust position control for maglev vehicles under nonlinear periodic disturbance

In this paper, an experiment for decoupling the dynamic behavior of the levitation chassis of maglev vehicle with four electromagnetic suspension (EMS) modules is implemented, which validated that the stable suspension of maglev vehicle can be achieved by controlling individual EMS modules. Then, a dynamic model for single EMS module is established. A PD controller is designed to control the vertical position of the maglev vehicle. Simulations illustrate that the robustness of the controller is weak against the periodic disturbance. To improve the robustness of the controller, a nonlinear control law for disturbance rejection is applied by combining with a periodic disturbance estimator with an adaptive notch filter, which is capable of compensating exogenous nonlinear periodic disturbance. Different from using the existing control laws, the structure, parameters and period of the disturbance is not required. Moreover, the controller designed in this work satisfies the requirement of unidirectional force input. Simulation results are presented to demonstrate the excellent dynamic performance with the proposed robust controller.

[1]  Richard D. Thornton,et al.  Efficient and Affordable Maglev Opportunities in the United States , 2009, Proceedings of the IEEE.

[2]  A.M. Mohamed,et al.  Imbalance compensation and automatic balancing in magnetic bearing systems using the Q-parameterization theory , 1994, Proceedings of 1994 American Control Conference - ACC '94.

[3]  Alireza R. Bakhshai,et al.  Stability analysis of periodic orbit of an adaptive notch filter for frequency estimation of a periodic signal , 2007, Autom..

[4]  J. D. Ren,et al.  Dynamic Modeling and Control of Nonlinear Electromagnetic Suspension Systems , 2015 .

[5]  Hui Wang,et al.  Analysis and experimental study on the MAGLEV vehicle-guideway interaction based on the full-state feedback theory , 2015 .

[6]  Yan Shi,et al.  Optimizing the intermodal transportation of emergency medical supplies using balanced fuzzy clustering , 2016 .

[7]  Zhong Ming,et al.  An Intelligent Wireless Sensor Networks System with Multiple Servers Communication , 2015, Int. J. Distributed Sens. Networks.

[8]  Hyung-Suk Han,et al.  Air Gap Control Simulation of Maglev Vehicles with Feedback Control System , 2013 .

[9]  Haiyan Qiang,et al.  Dynamics analysis and active control of a floating crane , 2015 .

[10]  Houbing Song,et al.  Imperfect Information Dynamic Stackelberg Game Based Resource Allocation Using Hidden Markov for Cloud Computing , 2018, IEEE Transactions on Services Computing.

[11]  Arun Ghosh,et al.  Design and implementation of a 2-DOF PID compensation for magnetic levitation systems. , 2014, ISA transactions.

[12]  R. Ortega,et al.  A novel passivity-based controller for an active magnetic bearing benchmark experiment , 2000, Proceedings of the 2000 American Control Conference. ACC (IEEE Cat. No.00CH36334).

[13]  Yongchun Fang,et al.  Nonlinear control of magnetic bearing in the presence of sinusoidal disturbance , 2001, Proceedings of the 2001 American Control Conference. (Cat. No.01CH37148).

[14]  Yongchun Fang,et al.  Adaptive rejection of unknown sinusoidal disturbances in linear SISO uncertain systems , 2002, Proceedings of the 2002 American Control Conference (IEEE Cat. No.CH37301).

[15]  Wanli Li,et al.  An Experimental Study on the Vibration of the Low-Speed Maglev Train Moving on the Guideway with Sag Vertical Curves , 2016 .

[16]  Xiaozhan Yang,et al.  Fuzzy control of nonlinear electromagnetic suspension systems , 2014 .

[17]  Ju Lee,et al.  Review of maglev train technologies , 2006 .

[18]  Akira Chiba,et al.  Proposal and Analysis of a Novel Single-Drive Bearingless Motor , 2013, IEEE Transactions on Industrial Electronics.

[19]  Yan Shi,et al.  Monitoring and assessing fruit freshness in IOT-based e-commerce delivery using scenario analysis and interval number approaches , 2016, Inf. Sci..

[20]  Abdelfatah M. Mohamed,et al.  Imbalance compensation and automation balancing in magnetic bearing systems using the Q-parameterization theory , 1995, IEEE Trans. Control. Syst. Technol..

[21]  Alireza R. Bakhshai,et al.  An adaptive notch filter for frequency estimation of a periodic signal , 2004, IEEE Transactions on Automatic Control.

[22]  Bang An,et al.  Characteristic research of electromagnetic force for mixing suspension electromagnet used in low-speed maglev train , 2015 .