The online models based fault tolerant control for multiple sensor fault of multi-variable nonlinear processes

Cuimei Bo, Zhiquan Wang, Jinguo Lin, Shi Zhang, Guangming Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

The online Model-based fault diagnosis and tolerant (FDT) control for nonlinear system under multiple sensor failures are investigated in the paper. In the close-loop control system, faults may be propagated and they can cause a malfunction of the loop. A control loop failure can easily cause production stoppage or malfunction at the plant level. The fault-tolerant control is introduced to increase the reliability of automated systems. A complete FDT architecture based on neural network model is proposed to efficiently handle the fault diagnosis and the accommodation of multiple sensor failures in online situations. The simulation results in a three-tank benchmark problem show the effectiveness and fastness of the proposed FDT framework.

Original languageEnglish
Title of host publicationInternational Joint Conference on Neural Networks 2006, IJCNN '06
Pages936-943
Number of pages8
StatePublished - 2006
EventInternational Joint Conference on Neural Networks 2006, IJCNN '06 - Vancouver, BC, Canada
Duration: 16 Jul 200621 Jul 2006

Publication series

NameIEEE International Conference on Neural Networks - Conference Proceedings
ISSN (Print)1098-7576

Conference

ConferenceInternational Joint Conference on Neural Networks 2006, IJCNN '06
Country/TerritoryCanada
CityVancouver, BC
Period16/07/0621/07/06

Keywords

  • BP neural network model
  • Fault-tolerant control
  • Multi-variables process

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