Fault detection and estimation for LTI systems and its application to a lab robotic manipulator

Authors:
Xiukun Wei;Lihua Liu;Michel Verhaegen
Affiliations:
Delft Center for Systems and Control, Delft University of Technology, Delft, The Netherlands;Department of Automation, Beijing Information Science & Technology University, Beijing, China;Delft Center for Systems and Control, Delft University of Technology, Delft, The Netherlands
Venue:
CCDC'09 Proceedings of the 21st annual international conference on Chinese Control and Decision Conference
Year:
2009

Citing 3
Cited 0

Robust model-based fault diagnosis for dynamic systems

Robust model-based fault diagnosis for dynamic systems
Brief paper: An LMI approach to H- index and mixed H-/H∞ fault detection observer design

Automatica (Journal of IFAC)
An LMI approach to minimum sensitivity analysis with application to fault detection

Automatica (Journal of IFAC)

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper addresses the fault detection and fault estimation issues for linear discrete time invariant (LTI) systems subject to unknown disturbances. The underlying problems are investigated based on the generalized KYP lemma in the finite frequency domain. In this paper, a new LMIs solution to the fault detection issue is proposed, which is slightly different from the available result and the set of LMIs are also simpler. A fault estimation method which focus on estimating the low frequency faults is also proposed. The fault detection and fault estimation techniques are further applied to a lab robotic manipulator.