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2014 | Buch

Fault Diagnosis and Fault-Tolerant Control Strategies for Non-Linear Systems

Analytical and Soft Computing Approaches

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Über dieses Buch

This book presents selected fault diagnosis and fault-tolerant control strategies for non-linear systems in a unified framework. In particular, starting from advanced state estimation strategies up to modern soft computing, the discrete-time description of the system is employed Part I of the book presents original research results regarding state estimation and neural networks for robust fault diagnosis. Part II is devoted to the presentation of integrated fault diagnosis and fault-tolerant systems. It starts with a general fault-tolerant control framework, which is then extended by introducing robustness with respect to various uncertainties. Finally, it is shown how to implement the proposed framework for fuzzy systems described by the well-known Takagi–Sugeno models.

This research monograph is intended for researchers, engineers, and advanced postgraduate students in control and electrical engineering, computer science, as well as mechanical and chemical engineering.

Inhaltsverzeichnis

Frontmatter
Chapter 1. Introduction
Abstract
A permanent increase in the complexity, efficiency, and reliability of modern industrial systems necessitates a continuous development in control and Fault Diagnosis (FD) [16] theory and practice.
Marcin Witczak

Robust Fault Diagnosis

Frontmatter
Chapter 2. Unknown Input Observers and Filters
Abstract
As can be observed in the literature, observers (or filters in a stochastic framework) are commonly used in both control and fault diagnosis schemes of non-linear systems (see, e.g., [16] and the references therein).
Marcin Witczak
Chapter 3. Neural Network-based Approaches to Fault Diagnosis
Abstract
Apart from the unquestionable effectiveness of the approaches presented in the preceding chapter, there are examples for which fault directions are very similar to that of an unknown input.
Marcin Witczak

Integrated Fault Diagnosis and Control

Frontmatter
Chapter 4. Integrated Fault Diagnosis and Control: Principles and Design Strategies
Abstract
As has already been mentioned, FTC systems are classified into two distinct classes [1]: passive and active. In passive FTC [24], controllers are designed to be robust against a set of predefined faults, therefore there is no need for fault diagnosis, but such a design usually degrades the overall performance. In contrast, active FTC schemes react to faults actively by reconfiguring control actions, and so the system stability and acceptable performance are maintained. To achieve that, the control system relies on FDI [58] as well as an accommodation technique [9]. Most of the existing works treat FDI and FTC problems separately. Unfortunately, perfect FDI and fault identification are impossible and hence there always is some inaccuracy related to this process. Thus, there is a need for integrated FDI and FTC schemes for both linear and non-linear systems.
Marcin Witczak
Chapter 5. Robust $$\mathcal {H}_{\infty }$$ -Based Approaches
Abstract
The main objective of the present section is to extend the FTC scheme presented in the preceding chapter by introducing the following improvements:
Marcin Witczak
Chapter 6. Fuzzy Multiple-Model Approach to Fault-Tolerant Control
Abstract
Fuzzy logic is a superset of the conventional (Boolean) logic that was extended to handle the concept of partial truth—truth values between “completely true” and “completely false”.
Marcin Witczak
Chapter 7. Conclusions and Future Research Directions
Abstract
From the point of view of engineering, it is clear that providing a reliable control strategy that is able to tolerate potential faults is an essential issue in modern control design, particularly as far as the control of complex industrial systems is considered.
Marcin Witczak
Backmatter
Metadaten
Titel
Fault Diagnosis and Fault-Tolerant Control Strategies for Non-Linear Systems
verfasst von
Marcin Witczak
Copyright-Jahr
2014
Electronic ISBN
978-3-319-03014-2
Print ISBN
978-3-319-03013-5
DOI
https://doi.org/10.1007/978-3-319-03014-2

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