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On-line estimation approaches to fault-tolerant control of uncertain systems

Klinkhieo, Supat


Supat Klinkhieo



This thesis is concerned with fault estimation in Fault-Tolerant Control (FTC) and as such involves the joint problem of on-line estimation within an adaptive control system. The faults that are considered are significant uncertainties affecting the control variables of the process and their estimates are used in an adaptive control compensation mechanism. The approach taken involves the active FTC, as the faults can be considered as uncertainties affecting the control system. The engineering (application domain) challenges that are addressed are:

(1) On-line model-based fault estimation and compensation as an FTC problem, for systems with large but bounded fault magnitudes and for which the faults can be considered as a special form of dynamic uncertainty.

(2) Fault-tolerance in the distributed control of uncertain inter-connected systems

The thesis also describes how challenge (1) can be used in the distributed control problem of challenge (2). The basic principle adopted throughout the work is that the controller has two components, one involving the nominal control action and the second acting as an adaptive compensation for significant uncertainties and fault effects. The fault effects are a form of uncertainty which is considered too large for the application of passive FTC methods. The thesis considers several approaches to robust control and estimation: augmented state observer (ASO); sliding mode control (SMC); sliding mode fault estimation via Sliding Mode Observer (SMO); linear parameter-varying (LPV) control; two-level distributed control with learning coordination.


Klinkhieo, S. (2009). On-line estimation approaches to fault-tolerant control of uncertain systems. (Thesis). University of Hull. Retrieved from

Thesis Type Thesis
Deposit Date Aug 15, 2011
Publicly Available Date Feb 22, 2023
Keywords Electronic engineering
Public URL
Additional Information Department of Electronic Engineering, The University of Hull
Award Date Jun 1, 2009


Thesis (2.2 Mb)

Copyright Statement
© 2009 Klinkhieo, Supat. All rights reserved. No part of this publication may be reproduced without the written permission of the copyright holder.

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