An adaptive technique for robust diagnosis of faults with independent effects on system outputs

Jiang, Bin; Wang, Jianliang; Soh, Yeng Chai

doi:10.1080/00207170210149934

Cited by 155 publications

(94 citation statements)

References 18 publications

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“…Therefore, according to the performance index (13), the reference residual model can be designed, which takes into account not only the robustness of the reference model residual against disturbance but also the sensitivity to faults.…”

Section: Choice Of the Reference Residual Modelmentioning

confidence: 99%

“…The existence of such time-delays renders the control design problem much more difficult [12]. Increasing attention has recently been devoted to stability control and fault diagnosis of linear/nonlinear time-delayed systems, see, for example, [4][5][6][11][12][13][14][15][16]. In [14], an observer-based fuzzy control scheme with adaptation to the time-delay was proposed.…”

Section: Introductionmentioning

confidence: 99%

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Robust Fault Detection and Estimation in Nonlinear Systems with Unknown Constant Time‐Delays

Yan

Shen

2017

Mathematical Problems in Engineering

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This paper studies the problem of fault detection and estimation in nonlinear time-delayed systems with unknown inputs, where the time-delays are supposed to be constant but unknown. A new fault detection filter, which can estimate online the time-delays, is first introduced. Then, a reference residual model is proposed to formulate the robust fault detection filter design problem as an ∞ model-matching problem. Furthermore, by a novel robust adaptive fault estimation algorithm, the classical assumption that the time derivative of the output error should be known is removed. In addition, applying a robust ∞ optimization control technique, sufficient conditions for the existence of the fault detection filter (FDF) are derived in terms of linear matrix inequality (LMI). Finally, simulation results are presented to illustrate the effectiveness of the proposed algorithm.

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Section: Choice Of the Reference Residual Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Robust Fault Detection and Estimation in Nonlinear Systems with Unknown Constant Time‐Delays

Yan

Shen

2017

Mathematical Problems in Engineering

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“…In [11], an adaptive observer for actuator and sensor fault estimation was developed. The proposed scheme circumvents the SPR condition at the expense of requiring the existence of a positive definite solution to a certain matrix inequality.…”

Section: Introductionmentioning

confidence: 99%

Adaptive observer-based fault estimation for a class of Lipschitz nonlinear systems

Oucief

Tadjine

Labiod

2016

Archives of Control Sciences

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Fault input channels represent a major challenge for observer design for fault estimation. Most works in this field assume that faults enter in such a way that the transfer functions between these faults and a number of measured outputs are strictly positive real (SPR), that is, the observer matching condition is satisfied. This paper presents a systematic approach to adaptive observer design for joint estimation of the state and faults when the SPR requirement is not verified. The proposed method deals with a class of Lipschitz nonlinear systems subjected to piecewise constant multiplicative faults. The novelty of the proposed approach is that it uses a rank condition similar to the observer matching condition to construct the adaptation law used to obtain fault estimates. The problem of finding the adaptive observer matrices is formulated as a Linear Matrix Inequality (LMI) optimization problem. The proposed scheme is tested on the nonlinear model of a single link flexible joint robot system.

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“…The continuous actuator fault is modelled by a 'fault pattern' as in Chen and Patton (1999, chapter 2), Jiang et al (2002) and Xu and Zhang (2004), which consists of the distribution matrix E , and a 'fault signal' f c ðtÞ 2 < q that represents the unexpected disturbance in control channel and can be constant or time varying. The fault signal describes the size of the fault and its time evolution, which are supposed to be norm bounded, i.e.…”

Section: System Descriptionmentioning

confidence: 99%

“…Based on Jiang, Wang and Soh (2002), Jiang, Staroswiecki and Cocquempot (2006) and Yang et al (2006), in this article, a new FTC framework is proposed for PSNS with both continuous and discrete faults and without full state measurement.…”

Section: Introductionmentioning

confidence: 99%

A fault tolerant control framework for periodic switched non-linear systems

Yang

Jiang

Cocquempot

2008

International Journal of Control

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An observer-based fault tolerant control (FTC) framework is proposed for a class of periodic switched non-linear systems (PSNS) without full state measurements. Two kinds of faults are considered: continuous faults that affect each mode during its dwell period; and discrete faults that affect the switching sequence. Under the average dwell time scheme, the proposed FTC framework can maintain the stability of overall PSNS in spite of these two kinds of fault. A switched reluctance motor example is taken to illustrate the efficiency of the proposed method.

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An adaptive technique for robust diagnosis of faults with independent effects on system outputs

Cited by 155 publications

References 18 publications

Robust Fault Detection and Estimation in Nonlinear Systems with Unknown Constant Time‐Delays

Robust Fault Detection and Estimation in Nonlinear Systems with Unknown Constant Time‐Delays

Adaptive observer-based fault estimation for a class of Lipschitz nonlinear systems

A fault tolerant control framework for periodic switched non-linear systems

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