Adaptive fault diagnosis observer design for a class of nonlinear system with model uncertainties

Seung Jin Jang, Jae Young Lee, Jin Bae Park, Yoon Ho Choi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we propose an adaptive fault diagnosis observer (AFDO) for a class of nonlinear systems with uncertainties. The AFDO, which estimates the faults in real time, is designed based on Lyapunov analysis. We design the adaptive fault estimation laws for AFDO by using the characteristics of output errors. Moreover, in order to handle the chattering problem, we modify the output error term to saturation term. And we add the e-modification term to handle the parameter drift, which also relaxes the assumption that the information about the upper bound of disturbancees is known prior. By Lyapunov analysis, we prove the uniform ultimately boundedness (UUB) of the system output error and unpredictable faults. Finally, we verify the effectiveness of the proposed method through computer simulations.

Original languageEnglish
Title of host publication2012 Proceedings of SICE Annual Conference, SICE 2012
PublisherSociety of Instrument and Control Engineers (SICE)
Pages1116-1119
Number of pages4
ISBN (Print)9781467322591
Publication statusPublished - 2012
Event2012 51st Annual Conference on of the Society of Instrument and Control Engineers of Japan, SICE 2012 - Akita, Japan
Duration: 2012 Aug 202012 Aug 23

Publication series

NameProceedings of the SICE Annual Conference

Other

Other2012 51st Annual Conference on of the Society of Instrument and Control Engineers of Japan, SICE 2012
CountryJapan
CityAkita
Period12/8/2012/8/23

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering

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