Stoustrup, Jakob

Zhou, Kemin

Journal of Control Science and Engineering

English

Jakob Stoustrup

Kemin Zhou

Crossref

Hindawi Publishing Corporation
Journal of Control Science and Engineering
Volume 2008, Article ID 251973, 2 pages
doi:10.1155/2008/251973
Editorial
Robustness Issues in Fault Diagnosis and Fault Tolerant Control
Jakob Stoustrup1 and Kemin Zhou2
1 Section for Automation and Control, Department of Electronic Systems, Aalborg University, Fredrik Bajers Vej 7C,
9220 Aalborg, Denmark
2 Department of Electrical and Computer Engineering, Louisiana State University, Baton Rouge, LA 70803, USA
Correspondence should be addressed to Jakob Stoustrup, jakob@es.aau.dk
Received 24 January 2008; Accepted 24 January 2008
Copyright © 2008 J. Stoustrup and K. Zhou. This is an open access article distributed under the Creative Commons Attribution
License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly
cited.
Fault diagnosis and fault tolerant control have become criti-
cally important in modern complex systems such as aircrafts
and petrochemical plants. Since no system in the real world
can work perfectly at all time under all conditions, it is crucial
to be able to detect and identify the possible faults in the sys-
tem as early as possible so that measures can be taken to pre-
vent significant performance degradation or damages to the
system. Fault diagnosis is not relevant only for safety critical
systems, but also for a significant number of systems, where
availability is a major issue.
In the past twenty some years, fault diagnosis of dynamic
systems has received much attention and significant progress
has been made in searching for model-based diagnosis tech-
niques.Many techniques have been developed for fault detec-
tion and fault tolerant control. However, the issue of robust-
ness of fault detection and fault tolerant control has not been
suﬃciently addressed. Since disturbances, noise, and model
uncertainties are unavoidable for any practical system, it is
essential in the design of any fault diagnosis/fault tolerant
control system to take these eﬀects into consideration, so that
fault diagnosis/tolerant control can be done reliably and ro-
bustly. The objective of this special issue is to report some
most recent developments and contributions in this direc-
tion.
The special issue is initiated by a paper by P. Zhang and
S. Ding, which gives a review of standard fault detection for-
mulations, focusing on robustness issues for model-based di-
agnosis systems.
N. Liu and K. Zhou then study a number of robust fault
detection problems, such as H /H , H2/H , and H /H prob-
lems, and it is shown that these problems share the same op-
timal filters. The optimal filters are designed by solving an
algebraic Riccati equation.
The robust fault detection and isolation problem is stud-
ied in the paper by E. Mazars et al., where an H criterion is
used, giving rise to a quadratic matrix inequality problem. A
jet engine example is provided.
D. Campos-Delgado et al. suggest an active fault-tolerant
control, and a design strategy is provided, which takes model
uncertainty into account. The methods are illustrated for a
DC motor example.
Systems that can be described by linear parameter vary-
ing models are considered by S. Grenaille et al. where robust-
ness constraints are included in the design of fault detection
and isolation filters. An illustration of the methods is given
in terms of an application to a nuclear power plant.
A method for design of a diagnosis and a fault tolerant
control system using an integrated approach is presented in
the paper by S. Yang and J. Chen. The design is illustrated for
a double inverted pendulum system.
M. Benini et al. present both a linear and a nonlinear fault
detection and isolation scheme. This paper focuses on robust
fault diagnosis for an aircraft model, and has extensive simu-
lations.
The fault tolerant scheme proposed by R. Dionisio and
J. Lemos is capable of stabilizing systems with intermittent
sensor faults. The approach is based on reconstructing the
feedback signal, using a switching strategy where a model is
used in the intermittent periods.
A design method for actuator fault diagnosis is proposed
in the paper byQ. Zhang, where the focus is to obtain robust-
ness with respect to nonlinear sensor distortion. A numerical
example is given.
The problem of designing fault tolerant control systems
for networked systems with actuator faults is treated in the
2 Journal of Control Science and Engineering
paper by Li et al. The proposed design method is demon-
strated by a numerical example.
The notion of a reliability index is introduced by H. Li
et al., for monitoring fault tolerant control systems. The re-
liability is evaluated based on semi-Markov models, and the
approach is applied to an aircraft model.
The final paper of the special issue by N. Wu et al. ad-
dresses fault tolerant control of a distributed database system.
The fault tolerant design relies on data redundancy in the
partitioned system architecture. Robustness is represented by
the introduction of additional states modeling delays and de-
cision errors. The design is based on solving Markovian de-
cision problems.
Jakob Stoustrup
Kemin Zhou
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