Composite Adaptive Anti-Disturbance Fault Tolerant Control of High-Speed Trains With Multiple Disturbances
Xiuming Yao, Shaohua Li, Xiaofeng Li
Abstract
This article investigates the fault tolerant control problem with anti-disturbance performance of high speed trains (HSTs) with actuator constraints in case of multiple random faults that may occur. By taking multiple disturbances into account, a new multiple point-mass stochastic jump system model of the HST is firstly established to describe the possible multiple faults. Based on the adaptive disturbance observer, a novel composite adaptive anti-disturbance fault tolerant control strategy is proposed to ensure that the velocity and position tracking error system of HSTs is stochastically stable. Moreover, except for the case where the transition probabilities (TPs) of the failure process are completely known, this article also discusses and analyzes the cases where the TPs are partially unknown and completely unknown, respectively. Finally, some examples are given to evaluate the effectiveness of the results.