Disturbance observer-based fuzzy fault-tolerant control for high-speed trains with multiple disturbances

doi:10.1088/1674-1056/acdfbe

Abstract The fault-tolerant control problem is investigated for high-speed trains with actuator faults and multiple disturbances. Based on the novel train model resulting from the Takagi-Sugeno fuzzy theory, a sliding-mode fault-tolerant control strategy is proposed. The norm bounded disturbances which are composed of interactive forces among adjacent carriages and basis running resistances are rearranged by the fuzzy linearity technique. The modeled disturbances described as an exogenous system are compensated for by a disturbance observer. Moreover, a sliding mode surface is constructed, which can transform the stabilization problem of position and velocity into the stabilization problem of position errors and velocity errors, i.e., the tracking problem of position and velocity. Based on the parallel distributed compensation method and the disturbance observer, the fault-tolerant controller is solved. The Lyapunov theory is used to prove the stability of the closed-loop system. The feasibility and effectiveness of the proposed fault-tolerant control strategy are illustrated by simulation results.

Keywords: fault-tolerant control high-speed trains disturbance observer fuzzy logic

Received: 21 February 2023
Revised: 29 May 2023
Accepted manuscript online: 20 June 2023

PACS:	07.05.Dz	(Control systems)
	89.40.-a	(Transportation)
	02.40.Ft	(Convex sets and geometric inequalities)

Fund: Project supported by the National Natural Science Foundation of China (Grant Nos. 62203246, 62003127, and 62003183).

Corresponding Authors: Xue Lin
E-mail: xlin@qust.edu.cn

Cite this article:

Qian-Ling Wang(王千龄), Cai-Qing Ma(马彩青), and Xue Lin(林雪) Disturbance observer-based fuzzy fault-tolerant control for high-speed trains with multiple disturbances 2023 Chin. Phys. B 32 100701

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Disturbance observer-based fuzzy fault-tolerant control for high-speed trains with multiple disturbances

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