There is an increasing demand for dynamic systems to become safer and more reliable This requirement extends beyond the normally accepted safety-critical systems such as nuclear reactors and aircraft, where safety is of paramount importance, to systems such as autonomous vehicles and process control systems where the system availability is vital It is clear that fault diagnosis is becoming an important subject in modern control theory and practice Robust Model-Based Fault Diagnosis for Dynamic Systems presents the subject of model-based fault diagnosis in a unified framework It contains many important topics and methods; however, total coverage and completeness is not the primary concern The book focuses on fundamental issues such as basic definitions, residual generation methods and the importance of robustness in model-based fault diagnosis approaches In this book, fault diagnosis concepts and methods are illustrated by either simple academic examples or practical applications The first two chapters are of tutorial value and provide a starting point for newcomers to this field The rest of the book presents the state of the art in model-based fault diagnosis by discussing many important robust approaches and their applications This will certainly appeal to experts in this field Robust Model-Based Fault Diagnosis for Dynamic Systems targets both newcomers who want to get into this subject, and experts who are concerned with fundamental issues and are also looking for inspiration for future research The book is useful for both researchers in academia and professional engineers in industry because both theory and applications are discussed Although this is a research monograph, it will be an important text for postgraduate research students world-wide The largest market, however, will be academics, libraries and practicing engineers and scientists throughout the world

Robust Model-Based Fault Diagnosis for Dynamic Systems

https://users.encs.concordia.ca/~ymzhang/publications/ARC32-2-98Zhang_pp.229-252.pdf

Bibliographical review on reconfigurable fault-tolerant control systems

With the continuous increase in complexity and expense of industrial systems, there is less tolerance for performance degradation, productivity decrease, and safety hazards, which greatly necessitates to detect and identify any kinds of potential abnormalities and faults as early as possible and implement real-time fault-tolerant operation for minimizing performance degradation and avoiding dangerous situations. During the last four decades, fruitful results have been reported about fault diagnosis and fault-tolerant control methods and their applications in a variety of engineering systems. The three-part survey paper aims to give a comprehensive review of real-time fault diagnosis and fault-tolerant control, with particular attention on the results reported in the last decade. In this paper, fault diagnosis approaches and their applications are comprehensively reviewed from model- and signal-based perspectives, respectively.

/pdf/a-survey-of-fault-diagnosis-and-fault-tolerant-techniques-9uuf1uqysf.pdf

A Survey of Fault Diagnosis and Fault-Tolerant Techniques—Part I: Fault Diagnosis With Model-Based and Signal-Based Approaches

Fault-Tolerant Control: The 1997 Situation

Fault-tolerant control systems: A comparative study between active and passive approaches

Fault-tolerant control systems — A holistic view

Fault Detection for Diesel Engine Actuator: A Benchmark for FDI

Multiple hypothesis-testing approach to FDI for the industrial actuator benchmark

Attitude control for small satellites differ from traditional attitu de control systems by having simple hardware and inexpensive actuators imposed by cost con straints. Limited ground contact, on the other hand, imposes requirements to autonomy of t he atti ude control. These conflicting requirements are fulfilled through development of nov el attitude and control algorithms combined with an on-board supervisory control architecture. Attitude estimation with an extended Kalman filter using sun sensor and m agnetometer data is introduced as a backup to a star camera estimate. This enables continued operati on in case of star camera or sun sensor failures. Three-axis attitude stabilization is provided with use of a set of three perpendicular magnetorquers. The attitude control and estim ation algorithms are integrated into a supervisory control architecture that enables reconfig uration in real time, based on mission phase and contingency operation requirements. This pro vides some level of fault tolerance with graceful degradation in case of severe faults. Results from simulations are presented to demonstrate projected perform ance capability.

S.A. Bøgh

Papers

Fault-tolerant control systems — A holistic view

Fault Detection for Diesel Engine Actuator: A Benchmark for FDI

Multiple hypothesis-testing approach to FDI for the industrial actuator benchmark

Autonomous Attitude Control System for the Ørsted Satellite

On the Design and Realisation of Supervisory Functions in Fault Tolerant Control