This paper addresses the integrated design of controllers and fault detectors embedded in the feedback control loops. The state of the art of the integrated design technique is first reviewed. The focus of the review ...
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This paper addresses the integrated design of controllers and fault detectors embedded in the feedback control loops. The state of the art of the integrated design technique is first reviewed. The focus of the review study is on the comparison between different design schemes and on the evaluation of the diagnostic performance. The second part of this paper consists of a study on controller configurations, observer-based residual generation and residual signals embedded in the feedback control loops. based on the observer and residual generator realization forms of the Youla controller parameterization, integrated design schemes for some practical control configurations are proposed and studied. (C) 2009 Elsevier Ltd. All rights reserved.
In this paper, the faultdetection and estimation in discrete-time systems whose outputs are measured scarcely and irregularly with different sensors is addressed. An observer that estimates the states and the faults ...
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In this paper, the faultdetection and estimation in discrete-time systems whose outputs are measured scarcely and irregularly with different sensors is addressed. An observer that estimates the states and the faults is used in which the updating gain depends on the sensors availability. The process is assumed to be affected by disturbances of known bounds, and the proposed approach allows to achieve a compromise between the time response of the fault detector and the disturbances attenuation (related to the faults detection threshold). Two strategies are proposed: in the first one, the threshold is fixed, and the response time is minimized. In the second one, the response time is fixed, and the threshold is minimized. In both cases, the observer design is based on H *infin; norms minimization via LMI.
This paper is concerned with the faultdetection problem of descriptor systems. First, an approach is proposed to design a normal observerbased residual generator for descriptor systems by exploring the relationship ...
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This paper is concerned with the faultdetection problem of descriptor systems. First, an approach is proposed to design a normal observerbased residual generator for descriptor systems by exploring the relationship between parity space based and observerbased residual generators. It is then shown that the full decoupling problem can be easily solved with this approach. Finally, a model-free approach is given to directly identify parity space based or observerbased residual generators from input and output data of descriptor systems and the order reduction of the identified residual generators is discussed.
The paper outlines recent advances of the theory of observer-basedfault diagnosis in dynamic systems towards the design of robust techniques of residual generation and residual evaluation. Emphasis will be placed upo...
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The paper outlines recent advances of the theory of observer-basedfault diagnosis in dynamic systems towards the design of robust techniques of residual generation and residual evaluation. Emphasis will be placed upon the latest contributions using frequency domain techniques including H-infinity, theory, nonlinear unknown input observer theory, adaptive observer theory, artificial intelligence including fuzzy logic, knowledge-based techniques and the natural intelligence of the human operator. Two representative examples illustrate the efficiency of the observer-based approach. (C) 1997 Elsevier Science Ltd.
A prerequisite for the feasibility of the technique of observer-based fault detection and isolation (FDI) in dynamic systems is a satisfactory robustness with respect to modeling uncertainties. This paper surveys the ...
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ISBN:
(纸本)0080412750
A prerequisite for the feasibility of the technique of observer-based fault detection and isolation (FDI) in dynamic systems is a satisfactory robustness with respect to modeling uncertainties. This paper surveys the most relevant methods to increase the robustness in both the stage of residual generation and residual evaluation. Among them are the generalized observer scheme, the robust parity space check, the unknown input and H∞ observer scheme, the decorrelation filter, and the concept of adaptive threshold selection. It is pointed out that the unknown input and H∞ observer concept that provides perfect decoupling from the modeling errors, or its optimal approximation constitutes a general framework of robust residual generation that generalizes and unifies numerous other approaches, among them the parity space and detection filter approach. It is further shown that this FDI method can even be applied to a certain class of nonlinear systems.
To implement fault tolerance techniques on robot architecture, a scheme of faultdetection-location has been developped. This scheme corresponds to a combination of asymptotic, unknown inputs and dedicated observers w...
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To implement fault tolerance techniques on robot architecture, a scheme of faultdetection-location has been developped. This scheme corresponds to a combination of asymptotic, unknown inputs and dedicated observers which allow faultdetection-location in robot structure by monitoring of corresponding residuals.
A prerequisite for the feasibility of the technique of observer-based fault detection and isolation (FDI) in dynamic systems is a satisfactory robustness with respect to modeling uncertainties. This paper surveys the ...
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A prerequisite for the feasibility of the technique of observer-based fault detection and isolation (FDI) in dynamic systems is a satisfactory robustness with respect to modeling uncertainties. This paper surveys the most relevant methods to increase the robustness in both the stage of residual generation and residual evaluation. Among them are the generalized observer scheme, the robust parity space check, the unknown input and observer scheme, the decorrelation filter, and the concept of adaptive threshold selection. It is pointed out that the unknown input and H ∞ observer concept that provides perfect decoupling from the modeling errors, or its optimal approximation constitutes a general framework of robust residual generation that generalizes and unifies numerous other approaches, among them the parity space and detection filter approach. It is further shown that this FDI method can even be applied to a certain class of nonlinear systems.
The paper outlines the principles of faultdetection and isolation (FDI) in dynamic systems using a mathematical model of the system. Implemented on a digital computer, these model-based algorithms can efficiently be ...
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The paper outlines the principles of faultdetection and isolation (FDI) in dynamic systems using a mathematical model of the system. Implemented on a digital computer, these model-based algorithms can efficiently be applied to signal validation, on-line detection of abrupt faults and early fault diagnosis in a long-term system supervision. The basic concept of the model-based approach to faultdetection and isolation is described, and the different methods of residual generation developed in the past two decades are reviewed. Among the methods considered are the parameter identification approach, the different observer-based concepts, the parity space approach and the knowledge-based strategy. It is also shown how structured residuals for the localization of the faults can be generated with the aid of observer schemes. As an issue of great practical relevance the robustness with respect to modeling errors is taken into consideration. Here emphasis is placed upon the unknown input observer approach and its application to instrument, actuator and component faultdetection.
The paper outlines the principles of faultdetection and isolation (PDI) in dynamic systems using a mathematical model of the system. Implemented on a digital computer, these model-based algorithms can efficiently be ...
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The paper outlines the principles of faultdetection and isolation (PDI) in dynamic systems using a mathematical model of the system. Implemented on a digital computer, these model-based algorithms can efficiently be applied to signal validation, on-line detection of abrupt faults and early fault diagnosis in a long-term system supervision. The basic concept of the model-based approach to faultdetection and isolation is described, and the different methods of residual generation developed in the past two decades are reviewed. Among the methods considered are the parameter identification approach, the different observer-based concepts, the parity space approach and the knowledge-based strategy. It is also shown how structured residuals for the localization of the faults can be generated with the aid of observer schemes. As an issue of great practical relevance the robustness with respect to modeling errors is taken into consideration. Here emphasis is placed upon the unknown input observer approach and its application to instrument, actuator and component faultdetection.
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