Disturbance-Observer-Based Fault Tolerant Control of High-Speed Trains: A Markovian Jump System Model Approach

作者：Yao, Xiuming; Wu, Ligang; Guo, Lei^*

来源：IEEE Transactions on Systems, Man, and Cybernetics: Systems , 2020, 50(4): 1476-1485.

DOI：10.1109/TSMC.2018.2866618

• Force
• Circuit faults
• Sensors
• Aerodynamics
• Load modeling
• Resistance
• Analytical models
• Disturbance observer
• fault tolerant control (FTC)
• high-speed trains (HSTs)
• Markovian jump system (MJS)
• velocity tracking

This paper addresses the fault tolerant control problem for high-speed trains in case of multiple possible failures. A new multiple point-mass model with system faults is built based on a stochastic jump system model approach. A novel active fault tolerant composite hierarchical anti-disturbance control strategy based on the disturbance observer is proposed such that the resulting composite system is stochastically stable with position and velocity tracking performance. According to whether the transition probabilities (TPs) of the failure and fault detection and isolation process can be accessed completely, three different cases (TPs are completely known, partially known, and completely unknown) are analyzed. For each case, based on the Lyapunov functional approach, a composite hierarchical controller is synthesized via a convex optimization problem. Finally, the simulations are given to illustrate the performance of the proposed methodologies.

• 出版日期2020-4
• 单位北京航空航天大学; 哈尔滨工业大学; 北京交通大学