Design of unknown input observers and robust fault detection filters
TL;DR: In this article, the authors proposed a new approach to design robust (in the disturbance de-coupling sense) fault detection filters which ensure that the residual vector, generated by this filter, has both robust and directional properties.
Abstract: Fault detection filters are a special class of observers that can generate directional residuals for the purpose of fault isolation. This paper proposes a new approach to design robust (in the disturbance de-coupling sense) fault detection filters which ensure that the residual vector, generated by this filter, has both robust and directional properties. This is done by combining the unknown input observer and fault detection filter principles. The paper proposes a new full-order unknown input observer, and gives necessary and sufficient conditions for its existence. After the disturbance de-coupling conditions are satisfied, the remaining design freedom can be used to make the residual have the directional property, based on the fault detection filter principle. A nonlinear jet engine system is used to illustrate the robust fault isolation approach presented. It is shown that linearization errors can be approximately treated as unknown disturbances and be de-coupled in the design of a robust fault detect...
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Book•
27 Sep 2011TL;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.
Abstract: 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
3,826 citations
TL;DR: This survey gives a systematic and comprehensive tutorial and summary on the existing disturbance/uncertainty estimation and attenuation techniques, most notably, DOBC, active disturbance rejection control, disturbance accommodation control, and composite hierarchical antidisturbance control.
Abstract: Disturbance-observer-based control (DOBC) and related methods have been researched and applied in various industrial sectors in the last four decades. This survey, at first time, gives a systematic and comprehensive tutorial and summary on the existing disturbance/uncertainty estimation and attenuation techniques, most notably, DOBC, active disturbance rejection control, disturbance accommodation control, and composite hierarchical antidisturbance control. In all of these methods, disturbance and uncertainty are, in general, lumped together, and an observation mechanism is employed to estimate the total disturbance. This paper first reviews a number of widely used linear and nonlinear disturbance/uncertainty estimation techniques and then discusses and compares various compensation techniques and the procedures of integrating disturbance/uncertainty compensation with a (predesigned) linear/nonlinear controller. It also provides concise tutorials of the main methods in this area with clear descriptions of their features. The application of this group of methods in various industrial sections is reviewed, with emphasis on the commercialization of some algorithms. The survey is ended with the discussion of future directions.
1,849 citations
Cites background from "Design of unknown input observers a..."
...For example, in fault diagnosis and isolation [31],...
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TL;DR: A survey of the various model-based FDIR methods developed in the last decade is presented, and various techniques of implementing reconfigurable control strategy in response to faults are discussed.
Abstract: Fault detection, isolation, and reconfiguration (FDIR) is an important and challenging problem in many engineering applications and continues to be an active area of research in the control community. This paper presents a survey of the various model-based FDIR methods developed in the last decade. In the paper, the FDIR problem is divided into the fault detection and isolation (FDI) step, and the controller reconfiguration step. For FDI, we discuss various model-based techniques to generate residuals that are robust to noise, unknown disturbance, and model uncertainties, as well as various statistical techniques of testing the residuals for abrupt changes (or faults). We then discuss various techniques of implementing reconfigurable control strategy in response to faults.
1,217 citations
Cites background from "Design of unknown input observers a..."
...As shown in [43], the existence of an unknown input observer depends on certain rank conditions....
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...[43] have proposed a systematic procedure of choosing the matrices , and for a full-order unknown input observer....
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TL;DR: This paper considers the application of a particular sliding mode observer to the problem of fault detection and isolation using the equivalent output injection concept to explicitly reconstruct fault signals.
1,141 citations
Cites background from "Design of unknown input observers a..."
...This problem is known in the literature as robust fault detection or fault detection using unknown input observers (Patton, 1997) and has been considered by many authors, for example, Chen et al. (1996), Dalton, Patton and Chen (1996), Hou and MuK ller (1992, 1994), Patton and Chen (1991, 1992), Patton et al....
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...This problem is known in the literature as robust fault detection or fault detection using unknown input observers (Patton, 1997) and has been considered by many authors, for example, Chen et al. (1996), Dalton, Patton and Chen (1996), Hou and MuK ller (1992, 1994), Patton and Chen (1991, 1992), Patton et al. (1989), Patton and Willcox (1987). Chen et al. (1996) discuss extensions to the failure detection "lter theory and provide an important link between this theory and the use of unknown input observers as a robustness problem....
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...…as robust fault detection or fault detection using unknown input observers (Patton, 1997) and has been considered by many authors, for example, Chen et al. (1996), Dalton, Patton and Chen (1996), Hou and MuK ller (1992, 1994), Patton and Chen (1991, 1992), Patton et al. (1989), Patton and…...
[...]
...This problem is known in the literature as robust fault detection or fault detection using unknown input observers (Patton, 1997) and has been considered by many authors, for example, Chen et al. (1996), Dalton, Patton and Chen (1996), Hou and MuK ller (1992, 1994), Patton and Chen (1991, 1992), Patton et al. (1989), Patton and Willcox (1987). Chen et al....
[...]
...This problem is known in the literature as robust fault detection or fault detection using unknown input observers (Patton, 1997) and has been considered by many authors, for example, Chen et al. (1996), Dalton, Patton and Chen (1996), Hou and MuK ller (1992, 1994), Patton and Chen (1991, 1992), Patton et al. (1989), Patton and Willcox (1987)....
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TL;DR: In this article, the observer-based fault detection and isolation problem with an emphasis on robustness and applications is studied, and a summary of the basic ideas behind the use of observers in generating diagnostic residual signals is provided.
552 citations
References
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Book•
07 Jun 1995
TL;DR: Striking a balance between theory and applications, Linear System Theory and Design, 3/e, is ideal for use in advanced undergraduate/first-year graduate courses in linear systems and multivariable system design in electrical, mechanical, chemical, and aeronautical engineering departments.
Abstract: From the Publisher:
An extensive revision of the author's highly successful text, this third edition of Linear System Theory and Design has been made more accessible to students from all related backgrounds. After introducing the fundamental properties of linear systems, the text discusses design using state equations and transfer functions. The two main objectives of the text are to: use simple and efficient methods to develop results and design procedures; enable students to employ the results to carry out design. Striking a balance between theory and applications, Linear System Theory and Design, 3/e, is ideal for use in advanced undergraduate/first-year graduate courses in linear systems and multivariable system design in electrical, mechanical, chemical, and aeronautical engineering departments. It assumes a working knowledge of linear algebra and the Laplace transform and an elementary knowledge of differential equations.
4,017 citations
TL;DR: In this article, the authors review the state of the art of fault detection and isolation in automatic processes using analytical redundancy, and present some new results with emphasis on the latest attempts to achieve robustness with respect to modelling errors.
3,313 citations
TL;DR: This paper surveys a number of methods for the detection of abrupt changes in stochastic dynamical systems, focusing on the class of linear systems, but the basic concepts carry over to other classes of systems.
2,416 citations
01 Jan 1975
TL;DR: A number of methods for detecting abrupt changes (such as failures) in stochastic dynamical systems are surveyed in this paper, where tradeoffs in complexity versus performance are discussed, ranging from the design of specific failure-sensitive filters, to the use of statistical tests on filter innovations, and the development of jump process formulations.
Abstract: A number of methods for detecting abrupt changes (such as failures) in stochastic dynamical systems are surveyed. The class of linear systems is concentrated on but the basic concepts, if not the detailed analyses, carry over to other classes of systems. The methods surveyed range from the design of specific failure-sensitive filters, to the use of statistical tests on filter innovations, to the development of jump process formulations. Tradeoffs in complexity versus performance are discussed.
1,451 citations
Book•
01 Nov 19891,169 citations