A method for designing fault diagnosis filters for LPV polytopic systems
TLDR
In this article, robustness constraints against model perturbations and disturbances are also taken into account in the design of robust fault detection and isolation (FDI) filters for dynamic systems characterized by LPV (Linear Parameter Varying) polytopic models.Abstract:
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.read more
Citations
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Journal ArticleDOI
Advanced model-based FDIR techniques for aerospace systems: Today challenges and opportunities
TL;DR: In this paper, the authors discuss some trends and recent advances in model-based Fault Detection, Isolation and Recovery (FDIR) for aerospace systems and underline the reasons for a widening gap between the advanced scientific FDIR methods being developed by the academic community and technological solutions demanded by the aerospace industry.
Journal ArticleDOI
Actuator fault estimation based adaptive polytopic observer for a class of LPV descriptor systems
TL;DR: An Adaptive Polytopic Observer (APO) design is presented in order to develop an actuator fault estimation method dedicated to polytopic Linear Parameter Varying (LPV) descriptor systems and time-varying actuator faults are also considered.
Journal ArticleDOI
Fault Detection and Isolation in Nonlinear Systems
József Bokor,Zoltán Szabó +1 more
TL;DR: In this article, the fault detection and identification in dynamic systems when the system dynamics can be modeled by smooth nonlinear differential equations including affine, bilinear or linear parameter varying (LPV) systems is considered.
Journal ArticleDOI
Robust fault reconstruction for linear parameter varying systems using sliding mode observers
Halim Alwi,Christopher Edwards +1 more
TL;DR: In this article, a sliding mode observer based on a linear parameter varying system with fault reconstruction capability is proposed for detecting and isolating faults in an actuator and a sensor in a nonlinear model of a large transport aircraft.
Journal ArticleDOI
Fault reconstruction using a LPV sliding mode observer for a class of LPV systems
TL;DR: A new sliding mode observer for fault reconstruction, applicable for a class of linear parameter varying (LPV) systems and augmenting the LPV system with a filtered version of the faulty measurements allows the sensor fault reconstruction problem to be posed as an actuator fault reconstruction scenario.
References
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Book
Robust Model-Based Fault Diagnosis for Dynamic Systems
Jie Chen,Ron J. Patton +1 more
TL;DR: 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.
Journal ArticleDOI
A Review of Process Fault Detection and Diagnosis Part I : Quantitative Model-Based Methods
TL;DR: This three part series of papers is to provide a systematic and comparative study of various diagnostic methods from different perspectives and broadly classify fault diagnosis methods into three general categories and review them in three parts.
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Self-scheduled H ∞ control of linear parameter-varying systems: a design example
TL;DR: The methodology presented in this paper is applied to the gain scheduling of a missile autopilot and is to bypass most difficulties associated with more classical schemes such as gain-interpolation or gain-scheduling techniques.
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A unified approach to the optimization of fault detection systems
TL;DR: In this article, problems of optimizing observer-based fault detection (FD) systems in the sense of increasing the robustness to the unknown inputs and simultaneously enhancing the sensitivity to the faults are studied.
Journal ArticleDOI
Detection filter design for LPV systems-a geometric approach
József Bokor,Gary J. Balas +1 more
TL;DR: This paper investigates fault detection and isolation of linear parameter-varying (LPV) systems by using parameter- Variant subspace and parameter-Varying unobservability subspaces and the question of stability is addressed in the terms of Lyapunov quadratic stability by using linear matrix inequalities.