Track Irregularity Disturbance Rejection for Maglev Train Based on Online Optimization of PnP Control Architecture

Track irregularities, caused by reasons such as track deformation and installation error, are common in real maglev line. These disturbances brought by tracks exert an adverse influence on the performance of a maglev train levitation system. It takes a lot of maintenance costs and time to keep the tracks in a good condition. In another way, a disturbance rejection through a controller optimization method is proposed in this paper. First, the influences of the track irregularity disturbances on levitation performance are illustrated in detail. Then, an online optimization of the PnP control architecture method is adopted to reject the disturbances caused by track irregularities. The effectiveness of this method is verified through the MATLAB simulation. This method makes the levitation system adaptive to known and unknown time-varying track irregularities, saving time, and human resources.

[1]  Fernando Paganini,et al.  A Course in Robust Control Theory , 2000 .

[2]  Steven X. Ding,et al.  Real-Time Implementation of Fault-Tolerant Control Systems With Performance Optimization , 2014, IEEE Transactions on Industrial Electronics.

[3]  Michel Verhaegen,et al.  Filtering and System Identification: Kalman filtering , 2007 .

[4]  Michel Verhaegen,et al.  Filtering and System Identification: Frontmatter , 2007 .

[5]  M. G Pollard,et al.  Maglev-a British first at Birmingham , 1984 .

[6]  Katsuhiko Ogata,et al.  Modern Control Engineering , 1970 .

[7]  Yang Zhao,et al.  Measurements and analysis of track irregularities on high speed maglev lines , 2014 .

[8]  Steven X. Ding,et al.  Fault-Tolerant Control for Systems With Model Uncertainty and Multiplicative Faults , 2020, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[9]  Hyung-Suk Han,et al.  Magnetic Levitation: Maglev Technology and Applications , 2016 .

[10]  Xiaolong Li,et al.  Levitation control of permanent magnet electromagnetic hybrid suspension maglev train , 2018, J. Syst. Control. Eng..

[11]  Xin Yang,et al.  Three-Dimensional Numerical Analysis and Optimization of Electromagnetic Suspension System for 200 km/h Maglev Train Considering Eddy Current Effect , 2018, IEEE Access.

[12]  Steven X. Ding,et al.  Data-driven Design of Fault Diagnosis and Fault-tolerant Control Systems , 2014 .

[13]  Li Yungang,et al.  CASCADE CONTROL OF AN EMS MAGLEV VEHICLE'S LEVITATION CONTROL SYSTEM , 1999 .

[14]  Ying Tan,et al.  Model-Guided Data-Driven Decentralized Control for Magnetic Levitation Systems , 2018, IEEE Access.

[15]  Xu Yang,et al.  Real-Time Optimization of Automatic Control Systems With Application to BLDC Motor Test Rig , 2017, IEEE Transactions on Industrial Electronics.

[16]  Zhang Ren,et al.  A new controller architecture for high performance, robust, and fault-tolerant control , 2001, IEEE Trans. Autom. Control..

[17]  S. Ohashi,et al.  Effect of the Damper Coils on the Guideway Displacement in the Superconducting Magnetically Levitated Bogie , 2012, IEEE Transactions on Applied Superconductivity.

[18]  Jang-Young Choi,et al.  Analysis and control of electromagnetic coupling effect of levitation and guidance systems for semi-high-speed Maglev train considering current direction , 2016, 2016 IEEE Conference on Electromagnetic Field Computation (CEFC).

[19]  Hao Luo,et al.  Plug-and-Play Monitoring and Performance Optimization for Industrial Automation Processes , 2016 .

[20]  Kaixiang Peng,et al.  A Plug-and-Play Monitoring and Control Architecture for Disturbance Compensation in Rolling Mills , 2016, IEEE/ASME Transactions on Mechatronics.

[21]  Zhiqiang Long,et al.  Maglev Trains: Key Underlying Technologies , 2015 .

[22]  Yong Zhang,et al.  Data-driven realizations of kernel and image representations and their application to fault detection and control system design , 2014, Autom..

[23]  Ahmad Afshar,et al.  Characteristics Optimization of the Maglev Train Hybrid Suspension System Using Genetic Algorithm , 2015, IEEE Transactions on Energy Conversion.

[24]  J. D. Yau,et al.  Interaction response of maglev masses moving on a suspended beam shaken by horizontal ground motion , 2010 .

[25]  Steven X. Ding,et al.  Model-based Fault Diagnosis Techniques: Design Schemes, Algorithms, and Tools , 2008 .

[26]  Jie Li,et al.  An adaptive vibration control method to suppress the vibration of the maglev train caused by track irregularities , 2017 .

[27]  Shuzhen Chen,et al.  Dynamic Analysis of a Coupled System of High-Speed Maglev Train and Curved Viaduct , 2018, International Journal of Structural Stability and Dynamics.

[28]  Li Jie,et al.  Influence of track periodical irregularities to the suspension system of low-speed maglev vehicle , 2015, 2015 34th Chinese Control Conference (CCC).