This paper gives a review of some standard fault-detection (FD) problem formulations in discrete linear time-invariant systems and the available solutions. Based on it, recent development of FD in periodic systems and sampled-data systems is reviewed and presented. The focus in this paper is on the robustness and sensitivity issues in designing model-based FD systems.

P. Zhang

S. X. Ding

On Fault Detection in Linear Discrete-Time, Periodic, and Sampled-Data Systems

Actuator fault diagnosis is often studied under strong assumptions on available sensors.
Typically, it is assumed that the sensors are either fault free or sufficiently redundant. The
purpose of this paper is to present a new method for actuator fault diagnosis which is robust
to sensor distortion. It does not require sensor redundancy to compensate sensor distortion.
The essential assumption is that sensor distortions are strictly monotonous. Despite the
nonlinear and unknown nature of distortions, such sensors still provide useful information
for fault diagnosis. The robustness of the presented diagnosis method is analyzed, as well
as its ability to detect actuator faults. A numerical example is provided to illustrate its efficiency.

Qinghua Zhang

Actuator Fault Diagnosis with Robustness to Sensor Distortion

This paper considers robust fault-detection problems for linear discrete time systems. It is shown that the optimal robust detection filters for several well-recognized robust fault-detection problems, such as /, /, and / problems, are the same and can be obtained by solving a standard algebraic Riccati equatio
n. Optimal filters are also derived for many other optimization criteria and it is shown that some well-studied and seeming-sensible optimization criteria for fault-detection filter design could lead to (optimal) but useless fault-detection filters.

Nike Liu

Kemin Zhou

Optimal Robust Fault Detection for Linear Discrete Time Systems

The work presented in this paper focuses on the design of robust Fault Detection and Isolation (FDI) filters for dynamic systems characterized by LPV (Linear Parameter Varying) polytopic models. A sufficient condition is established to guarantee sensitivity performance of the residual signal vector to faults. Robustness constraints against model perturbations and disturbances are also taken into account in the design method. A key feature of the proposed method is that the residual structuring matrices are optimized as an integral part of the design, together with the dynamic part (i.e. the filter). The design problem is formulated as a convex optimization problem and solved using LMI (Linear Matrix Inequalities) techniques. The proposed method is illustrated on the secondary circuit of a Nuclear Power Plant.

Sylvain Grenaille

David Henry

Ali Zolghadri

A Method for Designing Fault Diagnosis Filters for LPV Polytopic Systems

This paper presents sufficient conditions for stability of unstable discrete time 
invariant models, stabilized by state feedback, when interrupted observations due to
intermittent sensor faults occur. It is shown that the closed-loop system with 
feedback through a reconstructed signal, when, at least, one of the sensors is unavailable,
remains stable, provided that the intervals of unavailability satisfy a certain time
bound, even in the presence of state vanishing perturbations. The result is first
proved for linear systems and then extended to a class of Hammerstein systems.

Rui Vilela Dion&#xED;sio

Jo&#xE3;o M. Lemos

Stability of Discrete Systems Controlled in the Presence of Intermittent Sensor Faults

This paper proposes a reliability monitoring scheme for active fault tolerant control
systems using a stochastic modeling method. The reliability index is defined based on
system dynamical responses and a safety region; the plant and controller are assumed to
have a multiple regime model structure, and a semi-Markov model is built for reliability
evaluation based on the safety behavior of each regime model estimated by using Monte
Carlo simulation. Moreover, the history data of fault detection and isolation decisions is
used to update its transition characteristics and reliability model. This method provides an
up-to-date reliability index as demonstrated on an aircraft model.

Hongbin Li

Qing Zhao

Zhenyu Yang

Reliability Monitoring of Fault Tolerant Control Systems with Demonstration on an Aircraft Model

Optimal state information-based control policy for a distributed database system subject to server failures is considered. Fault-tolerance is made possible by the partitioned architecture of the system and data redundancy therein. Control actions include restoration of lost data sets in a single server using redundant data sets in the remaining servers, routing of queries to intact servers, or overhaul of the entire system for renewal. Control policies are determined by solving Markov decision problems with cost criteria that penalize system unavailability and slow query response. Steady-state system availability and expected query response time of the controlled database are evaluated with the Markov model of the database. Robustness is addressed by introducing additional states into the database model to account for control action delays and decision errors. A robust control policy is solved for the Markov decision problem described by the augmented state model.

N. Eva Wu

Matthew C. Ruschmann

Mark H. Linderman

Fault-Tolerant Control of a Distributed Database System

About this journal

Journal of Control Science and Engineering publishes research investigating the design, simulation and modelling, implementation, and analysis of methods and technologies for control systems and applications.

Journal profile

Meet the editorial board

Chief Editor, Professor Seiichiro Katsura, is based at Keio University, Japan. His laboratory is developing a novel synthesis method based on the infinite-order modeling and energy conversion of electromechanical integration systems.

Editor spotlight

Submit your proposal

Do you think there is an emerging area of research that really needs to be highlighted? Or an existing research area that has been overlooked or would benefit from deeper investigation? Raise the profile of a research area by leading a Special Issue.

Special Issues

Author guidelines

Editorial board

Databases and indexing

Journal of Control Science and Engineering - Table of contents 2008

Journal of Control Science and Engineering | Hindawi

title

Journal of Control Science and Engineering publishes research investigating the design, simulation and modelling, implementation, and analysis of methods and technologies for control systems and applications.

description

Journal of Control Science and Engineering

https://images.hindawi.com/journals/jcse/jcse.banner.jpg

Journal of Control Science and Engineering