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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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Proceedings ArticleDOI

Application of active disturbance rejection control in tank gun control system

TL;DR: The problem of position tracking for a tank gun control system with inertia uncertainty and external disturbance is investigated and the basic theory of active disturbance rejection control (ADRC) is introduced.
Proceedings ArticleDOI

Fault detection and isolation based on novel unknown input observer design

TL;DR: In this paper, an unknown input observer (UIO) design technique was proposed for fault detection and isolation in uncertain Lipschitz nonlinear systems with a focus on fault isolation and fault detection as a byproduct of fault isolation.
Journal ArticleDOI

Application of Adaptive Controllers in Teleoperation Systems: A Survey

TL;DR: The study in particular explores the application of adaptive controllers in dealing with master and slave model uncertainties, operator and environment force model uncertainty, unknown external disturbances, and communication delay in robotic teleoperation systems.
Journal ArticleDOI

Robust detection filter design in the presence of time-varying system perturbations

TL;DR: By applying a time-invariant equivalent representation of the original time-varying system, it is possible to construct a detection filter such that the solution of the design problem can be solved using algebraic methods and geometric concepts similar to the case of time invariant situations.
Journal ArticleDOI

A Distributed Cyber-Attack Detection Scheme With Application to DC Microgrids

TL;DR: This article presents a distributed monitoring scheme to provide attack-detection capabilities for linear large-scale systems, which relies on a Luenberger observer together with a bank of unknown-input observers at each subsystem, providing attack detection capabilities.
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.