NDLI: Fault detection for nonlinear systems in presence of input unmodeled dynamics

Content Provider	IEEE Xplore Digital Library
Author	Gayaka, S. Bin Yao Meckl, P.
Copyright Year	2007
Description	Author affiliation: Purdue Univ., West Lafayette (Gayaka, S.; Bin Yao; Meckl, P.)
Abstract	This paper presents the problem of fault detection in the presence of input unmodeled dynamics. There are mainly two sources of uncertainties for a system in addition to external disturbances: parametric uncertainties and unmodeled dynamics. For nonlinear systems, the problem of fault detection and isolation has been studied under the assumption that modeling uncertainty can be bounded by an a priori known function. Many robust algorithms have been designed based on this assumption. But, the problem of fault detection in the presence of dynamic uncertainties for nonlinear systems has not been addressed by many researchers. The goal of this work is to focus on the problem of actuator fault detection in the presence of input unmodeled dynamics. We use state-estimation errors as residuals for fault detection and monitoring the system for any off-nominal behavior. A rigorous analysis is done to understand the effects of unmodeled dynamics on the process of fault detection. Based on the analysis, we derive a threshold function for the purpose of fault detection, which can decouple the effects of fault and unmodeled dynamics. Finally, simulations are performed to show the effectiveness of the proposed method.
Starting Page	1
Ending Page	5
File Size	430638
Page Count	5
File Format	PDF
ISBN	9781424412631
DOI	10.1109/AIM.2007.4412474
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-09-04
Publisher Place	Switzerland
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fault detection Nonlinear systems Nonlinear dynamical systems Uncertainty Robustness Algorithm design and analysis Linear systems Mechanical engineering Actuators Control systems Nonlinear multivariable system Actuator faults Input Unmodeled Dynamics
Content Type	Text
Resource Type	Article

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