A robust integrated controller/diagnosis aircraft application

Marcos, Andrés; Balas, Gary J.

doi:10.1002/rnc.1010

Cited by 67 publications

(22 citation statements)

References 19 publications

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“…From Lemma 1, we have that condition (14) can be satisfied by solving inequality (15), and by Lemma 3, we have that (15) is equivalent to (20) if R is chosen to satisfy (19). It is noted that if the detector/controller matrices ( (20) is an LMI over the decision variables P( ), Q( ) for fixed .…”

Section: Conditions For Fault Detectionmentioning

confidence: 96%

Integrated fault detection and control for LPV systems

Wang

Yang

2008

Intl J Robust & Nonlinear

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SUMMARYThis paper studies the integrated fault detection and control problem for linear parameter-varying systems. A parameter-dependent detector/controller is designed to generate two signals: residual and control signals that are used to detect faults and simultaneously meet some control objectives. The low-frequency faults and certain finite-frequency disturbances are considered. With the aid of the newly developed linearization techniques, the design methods are presented in terms of solutions to a set of linear matrix inequalities. A numerical example is given to illustrate the effectiveness of the proposed methods.

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Section: Conditions For Fault Detectionmentioning

confidence: 96%

Integrated fault detection and control for LPV systems

Wang

Yang

2008

Intl J Robust & Nonlinear

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“…Now the output is a combination of the actual and the filtered outputs (which are prone to faults). Also note that system (53) above is in the form of (4). Now an observer can be designed by replacing (A(ρ), D, C) in (9) and (7) with (A a (ρ), F a , C a ) in (53) and (54) respectively.…”

Section: Iiib Development Of An Augmented Systemmentioning

confidence: 99%

Actuator and Sensor Fault Reconstruction Using an LPV Sliding Mode Observer

Alwi

Edwards

Marcos³

2010

AIAA Guidance, Navigation, and Control Conference

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This paper presents a new actuator and sensor fault reconstruction scheme for Linear Parameter Varying (LPV) systems, based on a sliding mode observer. Two separate observer schemes for actuator and sensor fault reconstruction are presented. For the design of the actuator fault reconstruction scheme, the varying input distribution matrix has been factorized into a fixed and a varying component. A virtual system comprising the system matrix and the fixed input distribution matrix is used for the design of the observer. The fixed input distribution matrix facilitates a coordinate transformation which defines the observer gains and ensures a stable closed-loop reduced order sliding motion. The 'output error injection signals' from the observer are used for reconstruction. For the sensor fault design, augmenting the LPV system with a filtered version of the faulty measurements allows the problem of sensor fault reconstruction design to be posed as an actuator fault reconstruction problem. Simulation tests based on an LPV and high-fidelity model of a large transport aircraft have been used to demonstrate the proposed actuator and sensor FDI scheme. The simulation results show good reconstruction of the faults for both actuator and sensors. Nomenclature 6-DOF = 6 degree of freedom F DI, F T C = Fault detection and isolation, fault tolerant control LT I, LP V = Linear time invariant, linear parameter varying cmd = command signal mac = mean aerodynamic chord q = pitch rate V tas = true air speed α, θ, γ = angle of attack, pitch, flight path angle h e = geometric earth position along the z (altitude) axis IR = field of real numbers R(A) = range space of the matrix A ρ = LPV parameter

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“…Particularly, the problem of H ∞ optimization-based fault detection has been an active research area [4][5][6][7]. However, in many practical cases, the fault detection systems have feedback control, that is, the fault detection system is usually of closed-loop type, and if the fault detection systems are designed separately from the control algorithms, faults may be hidden by control actions and the early detection of faults is clearly more difficult, especially low frequency faults [8][9][10][11][12][13][14][15]. Therefore, the problem of merging the control and fault detection units into a single detector/controller unit, i.e.…”

Section: Introductionmentioning

confidence: 99%

Finite-time event-triggered control and fault detection for singular Markovian jump mixed delay systems under asynchronous switching

Zhong

Cheng

2018

Adv Differ Equ

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This paper considers the problem of the simultaneous finite-time event-triggered control and fault detection for a class of continuous-time singular Markovian jump mixed delay systems (SMJDSs) under asynchronous switching. In order to develop the control and detection objectives, the mode-dependent fault detection filters and dynamic feedback event-triggered-based controllers are designed and the switching signal between the detector/controller unit and subsystems is assumed to be asynchronous. Based on average dwell time (ADT) techniques, some new sufficient conditions for the existence of fault detection/controller unit are presented in the framework of linear matrix inequalities (LMIs) to ensure the control system has singular stochastic finite-time stability (SSFTS). Finally, a numerical example is provided to illustrate the effectiveness of the proposed method.

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A robust integrated controller/diagnosis aircraft application

Cited by 67 publications

References 19 publications

Integrated fault detection and control for LPV systems

Integrated fault detection and control for LPV systems

Actuator and Sensor Fault Reconstruction Using an LPV Sliding Mode Observer

Finite-time event-triggered control and fault detection for singular Markovian jump mixed delay systems under asynchronous switching

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