On the representation of sensor faults in fault detection filters

Park, J.; Rizzoni, Giorgio; Ribbens, William B.

doi:10.1109/cdc.1993.325484

Cited by 21 publications

(30 citation statements)

References 8 publications

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“…As has been pointed out, making the state estimation error (19) independent of w(t) requires additional knowledge on the disturbance. One approach assumes a model of the disturbance's dynamics and extends the system state [11]. The enhanced system state contains w(t) as a combination of k additional states x w (t) which are represented by a linear dynamic:…”

Section: Output Disturbance Observer Designmentioning

confidence: 99%

“…Considerable work has been devoted to the design of unknown input observers (UIOs) [4][5][6][7][8][9] which converge despite the presence of disturbances in the system equation [10]. By modelling sensor errors in an extended system state [11], both uncertainties in system and measurement equation can be represented as unknown input signals.…”

Section: Introductionmentioning

confidence: 99%

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On linear observers and application to fault detection in synchronous generators

Stellet

Rogg

2014

Control Theory Technol.

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This work introduces an observer structure and highlights its distinct advantages in fault detection and isolation. Its application to the issue of shorted turns detection in synchronous generators is demonstrated. For the theoretical foundation, the convergence and design of Luenberger-type observers for disturbed linear time-invariant (LTI) single-input single-output (SISO) systems are reviewed with a particular focus on input and output disturbances. As an additional result, a simple observer design for stationary output disturbances that avoids a system order extension, as in classical results, is proposed.

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Section: Output Disturbance Observer Designmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

On linear observers and application to fault detection in synchronous generators

Stellet

Rogg

2014

Control Theory Technol.

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“…The vector f contains both faults affecting the dynamics equation via E a; (process and actuator faults) and sensor faults influencing the measurements via E s; . Notice that, thereby, sensor faults are treated directly, and no reformulation as pseudo-actuator faults as in [25] is necessary. Hence, no dynamic extensions are needed to handle sensor faults, resulting in a reduced design and implementation effort compared with Park and Rizzoni [25].…”

Section: Problem Descriptionmentioning

confidence: 99%

“…Notice that, thereby, sensor faults are treated directly, and no reformulation as pseudo-actuator faults as in [25] is necessary. Hence, no dynamic extensions are needed to handle sensor faults, resulting in a reduced design and implementation effort compared with Park and Rizzoni [25]. The matrices describing (3) are assumed to be subject to parametric uncertainties, that is, they are not known exactly.…”

Section: Problem Descriptionmentioning

confidence: 99%

Design of robust fault isolation observers for linear systems with bounded uncertain parameters

Wahrburg¹

2015

Adaptive Control & Signal

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In this article, a design procedure for robust fault isolation observers for linear systems is proposed. It allows to detect and isolate faults by means of a single, specifically parametrized observer, yielding a small implementation effort compared with standard bank-of-observers approaches. A design based on parametric eigenstructure assignment for nominal system dynamics is presented. The main contribution is to show how the remaining degrees of freedom can be utilized to optimize robustness of the fault isolation observer with respect to uncertain system parameters. Therein, the uncertainties are assumed to belong to a polyhedral domain. The application of the design to two examples verifies the results for systems defined by nominal dynamics and known bounds on the uncertain parameters.

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“…Notice that system formulation (1) is not restrictive: sensor faults can also be represented by actuator faults as indicated in [16].…”

Section: Problem Formulationmentioning

confidence: 99%

Robust multiple‐fault detection and isolation: A gradient flow approach

Casavola¹,

Famularo²,

Franzè³

2007

Adaptive Control & Signal

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This paper presents a novel solution to the fault detection and isolation observer design problem for linear time-invariant systems. A gradient flow approach is proposed for synthesizing a residual generator under optimal eigenstructure assignment. This is achieved by minimizing the spectral condition number of the observer eigenvector matrix. The properties of convergence of the gradient flow solution are proved and its efficiency demonstrated via a numerical example.

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On the representation of sensor faults in fault detection filters

Cited by 21 publications

References 8 publications

On linear observers and application to fault detection in synchronous generators

On linear observers and application to fault detection in synchronous generators

Design of robust fault isolation observers for linear systems with bounded uncertain parameters

Robust multiple‐fault detection and isolation: A gradient flow approach

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