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Journal ArticleDOI

Design of unknown input observers and robust fault detection filters

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TLDR
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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Citations
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Detección robusta de fallas en sistemas lineales a tiempo discre- to: un enfoque de control H2-H∞ Robust fault detection for discrete-time linear systems: an H2-H∞ control setting

TL;DR: In this article, the authors proposed an approach for robust fault detection filter design in discrete time linear systems, which consists of transforming the fault robust detection problem into an H2-H∞ robust control problem.
Journal ArticleDOI

Fault diagnosis of inertia sensor in missile control systems

TL;DR: A method of fault diagnosis with adjacent wavelet coefficient algorithm and a method to diagnose disconnection or short circuit faults together effectively solves fault diagnosis problems of sensors in missile control systems.
Proceedings ArticleDOI

Diagnosability of GNSS/IMU System without Hardware Redundancy

TL;DR: This paper addresses the fault diagnosis problem of sensors of an aeronautical system based on GNSS/IMU with a proposed FDI scheme based on a generalized bank of observers (GBO) designed with the UIO theory.
Proceedings ArticleDOI

Estimation and reconstruction of multiple system, actuator and sensor faults in time-delayed linear systems

TL;DR: Detection, isolation, and reconstruction of multiple system, actuator, and sensor faults in time-delayed linear systems are considered and numerical simulation is used to show the feasibility and effectiveness of the proposed approach.
Proceedings ArticleDOI

Observer design for systems with unknown inputs and missing measurements

TL;DR: In this paper, the observer design problem for a class of systems with unknown inputs and missing measurements is considered and a Bernoulli distributed sequence taking values on 0 or 1 is employed to govern possible missing measurements.
References
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Book

Linear System Theory and Design

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.
Journal ArticleDOI

Fault diagnosis in dynamic systems using analytical and knowledge-based redundancy—a survey and some new results

Paul M. Frank
- 01 May 1990 - 
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.
Journal ArticleDOI

Paper: A survey of design methods for failure detection in dynamic systems

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.

A survey of design methods for failure detection in dynamic systems

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.