Fault tolerant PID control based on software redundancy for nonlinear uncertain processes

Cuimei Bo, Zhiquan Wang, Li Jun, Jinguo Lin

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

2 Scopus citations

Abstract

The fault diagnosis and close-loop tolerant PID control for nonlinear multi-variables system under multiple sensor failures are investigated in the paper. A complete FDT architecture based on software redundancy is proposed to efficiently handle the fault diagnosis and the accommodation for multiple sensor failures in online situations. The methods colligates the adaptive threshold technique with the envelope and weighting moving average residual to detect multi-type sensor fault, use fault propagation technique, variable structure analyzing technique and neural network techniques to online reconstruct sensor signal, and achieves the tolerant PID control through recombining feedback loop of PID controller. The three-tank with multiple sensor fault concurrence is simulated, the simulating result shows that the fault detection and tolerant control strategy has stronger robustness and tolerant fault ability.

Original languageEnglish
Title of host publication2006 IEEE International Conference on Mechatronics and Automation, ICMA 2006
Pages2211-2216
Number of pages6
DOIs
StatePublished - 2006
Event2006 IEEE International Conference on Mechatronics and Automation, ICMA 2006 - Luoyang, China
Duration: 25 Jun 200628 Jun 2006

Publication series

Name2006 IEEE International Conference on Mechatronics and Automation, ICMA 2006
Volume2006

Conference

Conference2006 IEEE International Conference on Mechatronics and Automation, ICMA 2006
Country/TerritoryChina
CityLuoyang
Period25/06/0628/06/06

Keywords

  • Fault detection and diagnosis
  • Fault-tolerant control
  • Software redundancy
  • Three-tank process

Fingerprint

Dive into the research topics of 'Fault tolerant PID control based on software redundancy for nonlinear uncertain processes'. Together they form a unique fingerprint.

Cite this