Adaptive fuzzy fault-tolerant control for multiple high-speed trains with proportional and integral-based sliding mode

Xiang Gui Guo, Jian Liang Wang, Fang Liao

Research output: Journal PublicationArticlepeer-review

66 Citations (Scopus)

Abstract

In this study, novel adaptive fuzzy fault-tolerant control method is proposed for multiple high-speed trains (HSTs) in the presence of actuator faults, unknown non-linear dynamics and external disturbances. The fuzzy logic system is used to approximate the unknown functions. Based on proportional and integral-based sliding mode technique, two adaptive fuzzy control schemes are then proposed to achieve string stability. In the first scheme, the actuator faults are not considered. In the second scheme, a novel fuzzy fault-tolerant control with fewer adjustable parameters is constructed to further reduce the online computational load. By using Lyapunov analysis, the individual stability and string stability of whole multiple HSTs are proven. In addition, all signals of the closed-loop system are uniformly ultimately bounded and all HSTs track the reference trajectory to a small compact set around zero. Finally, comparative simulation is introduced to verify the reliability and effectiveness.

Original languageEnglish
Pages (from-to)1234-1244
Number of pages11
JournalIET Control Theory and Applications
Volume11
Issue number8
DOIs
Publication statusPublished - 12 May 2017
Externally publishedYes

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Human-Computer Interaction
  • Computer Science Applications
  • Control and Optimization
  • Electrical and Electronic Engineering

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