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2013 | OriginalPaper | Chapter

Enhancing the Robustness of Fault Isolation Estimator for Fault Diagnosis in Robotic Systems

Authors : Ngoc-Bach Hoang, Hee-Jun Kang

Published in: Multimedia and Ubiquitous Engineering

Publisher: Springer Netherlands

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Abstract

Fault diagnosis and fault tolerant control are increasingly importance in robotic systems. A number of researchers have proposed the generalized observer scheme for fault isolation when a fault happened. One of the key issues in this scheme is based on the sensitive of the residual with the corresponding adaptive threshold. In this paper, we present a new method to derive the adaptive threshold in order to enhance the robustness of fault isolation estimator and reduce the fault isolation time. Mathematical proof and computer simulation are performed to show the effectiveness of the proposed method.

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Metadata
Title
Enhancing the Robustness of Fault Isolation Estimator for Fault Diagnosis in Robotic Systems
Authors
Ngoc-Bach Hoang
Hee-Jun Kang
Copyright Year
2013
Publisher
Springer Netherlands
DOI
https://doi.org/10.1007/978-94-007-6738-6_135