Open AccessBook
Diagnosis and Fault-Tolerant Control
Mogens Blanke,Michel Kinnaert,Jan Lunze,Marcel Staroswiecki,Jochen Schröder +4 more
- 22 Dec 2012
TL;DR: In this paper, model-based analysis and design methods for fault diagnosis and fault-tolerant control are presented, where the propagation of the fault through the process, test fault detectability and reveal redundancies that can be used to ensure fault tolerance.
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Abstract: This book presents model-based analysis and design methods for fault diagnosis and fault-tolerant control. Architectural and structural models are used to analyse the propagation of the fault through the process, test fault detectability and reveal redundancies that can be used to ensure fault tolerance. Case studies demonstrate the methods presented. The second edition includes new material on reconfigurable control, diagnosis of nonlinear systems, and remote diagnosis, plus new examples and updated bibliography.
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Citations
Current sensors faults detection, isolation and control reconfiguration for PMSM drives
Faten Grouz,Lassaâd Sbita,Mohamed Boussak +2 more
- 21 Mar 2013
TL;DR: In this paper, a new method current sensors faults detection isolation (FDI) and reconfiguration of the control loops of a permanent magnet synchronous motor (PMSM) drives is proposed.
17
Stability guaranteed active fault tolerant control of networked control systems
Shanbin Li,Dominique Sauter,Christophe Aubrun,Joseph J. Yame +3 more
- 02 Jul 2007
TL;DR: In this article, the stability guaranteed active fault tolerant control against actuators failures in networked control systems (NCS) is addressed, and a detailed design procedure is formulated as a convex optimization problem which can be efficiently solved by existing software.
Efficient diagnosability assessment via ILP optimization: a railway benchmark
Francesco Basile,Gianmaria De Tommasi,Claudio Sterle,Abderraouf Boussif,Mohamed Ghazel +4 more
- 01 Sep 2018
TL;DR: This paper exploits the railway Petri net model originally proposed in [16], and extended in [14] to be used as a benchmark for diagnosability analysis, to assess the efficiency of the approach based on the solution of ILP problems proposed in[3].
17
Distributed adaptive sensor fault tolerant control for smart buildings
Panayiotis M. Papadopoulos,Vasso Reppa,Marios M. Polycarpou,Christos G. Panayiotou +3 more
- 15 Dec 2015
TL;DR: This paper presents a model-based distributed fault-tolerant control (FTC) scheme with emphasis on compensating the effects of sensor faults in multi-zone heating, ventilating and air-conditioning systems.
Integrated fault estimation and fault‐tolerant control for stochastic systems with Brownian motions
Xiaoxu Liu,Xiaoxu Liu,Zhiwei Gao +2 more
TL;DR: The augmented system approach, unknown input observer method, and optimization technique are integrated to achieve robust simultaneous estimates of the system states and the means of faults concerned and a robust fault‐tolerant control strategy is developed by using actuator and sensor signal compensation techniques.
References
Intelligent failure-tolerant control
TL;DR: An overview of failure-tolerant control is presented, focusing on the control of continuous-time dynamic systems (or plants) whose motions can be represented by integrals of nonlinear ordinary differential equations.
178
Diagnosis of Quantised Systems
TL;DR: The paper shows how the behavioural relation of the automaton has to be selected in order to obtain a complete model of the quantised system and surveys methods for modelling and diagnosing such systems.
36
Fault recovery by nominal trajectory tracking
M. Staroswiecki,Franck Cazaurang +1 more
- 11 Jun 2008
TL;DR: This paper proposes a problem setting that allows to trade-off the quality of the accommodated trajectories and the energy of the accommodation control, and provides a clear definition of recoverable faults.
Bibliographical Notes. I
TL;DR: This chapter focuses on protection, which is a measure of confidence that the integrity of a system and its data will be preserved and Security assurance is a much broader topic, and is addressed in Chapter 15.
17
Diagnosability of stochastic automata
David Thorsley,Demosthenis Teneketzis +1 more
- 09 Dec 2003
TL;DR: The stochastic diagnoser is used to specify off-line conditions sufficient to guarantee notions of diagnosability and determine how to perform on-line diagnosis of failure events.
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