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Permanent link (DOI): https://doi.org/10.7939/R31Q4X

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Nonlinear Robust Observers for Simultaneous State and Fault Estimation Open Access

Descriptions

Other title
Subject/Keyword
Robust Observers, Nonlinear Lipschitz Systems, Fault Estimation
Type of item
Thesis
Degree grantor
University of Alberta
Author or creator
Raoufi, Reza
Supervisor and department
Horacio J. Marquez, Electrical and Computer Engineering
Examining committee member and department
Qiong (Christine)Wu, Mechanical and Manufacturing Engineering, University of Manitoba
Jong Min Lee, Chemical and Materials Engineering
Mahdi Tavakoli, Electrical and Computer Engineering
Qing Zhao, Electrical and Computer Engineering
Department
Electrical and Computer Engineering
Specialization

Date accepted
2010-01-04T18:17:10Z
Graduation date
2010-06
Degree
Doctor of Philosophy
Degree level
Doctoral
Abstract
A fault in the system operation is deemed to occur when the system practically experiences an abnormal condition, such as a malfunction in the actuators/sensors. Hence, detection and isolation of the faulty components is crucial in control applications. Effective control and monitoring of a system requires accurate information of internal behaviour of the system. This internal behaviour can be analyzed by system's states. Practically, in many real systems, state space variables are not fully available for measurements. The two critical problems stated have motivated significant research work in the area of robust state and fault estimation. Fault reconstruction and estimation is regarded as a stronger extension to fault detection and isolation (FDI) since accurate fault estimation automatically implies fault detection. It is well known that two promising control strategies to cope with uncertain control processes are H_infinity Control and Sliding Mode Control. Therefore, in this PhD thesis, we employ these tools and we propose observer based robust fault reconstruction (RFR) by integrating H_infinity filtering and Sliding Mode Control. We also employ adaptive control on the sliding motion to deal with faults with unknown bounds. Another open problem in the context of FDI and RFR is due to systems with multiple faults at different system's components since it is often the case where actuators and also sensors suffer from faults during the course of the system's operation. Both actuators and sensors can suffer from faults either alone, at separate times or simultaneously. The co-existence of unknown fault at both sensor(s) and actuator(s) has not been addressed in any earlier design of fault reconstruction schemes. In this Thesis, inspired by the theory of singular systems, we aim at solving this problem. A New structure for reduced-order unknown input observers (UIOs) with application to chaotic communication and sensor fault reconstruction is also proposed.
Language
English
DOI
doi:10.7939/R31Q4X
Rights
License granted by Reza Raoufi (raoufi@ualberta.ca) on 2009-12-21T22:52:39Z (GMT): Permission is hereby granted to the University of Alberta Libraries to reproduce single copies of this thesis and to lend or sell such copies for private, scholarly or scientific research purposes only. Where the thesis is converted to, or otherwise made available in digital form, the University of Alberta will advise potential users of the thesis of the above terms. The author reserves all other publication and other rights in association with the copyright in the thesis, and except as herein provided, neither the thesis nor any substantial portion thereof may be printed or otherwise reproduced in any material form whatsoever without the author's prior written permission.
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