Fault Detection and Identification of Actuator Faults Using Linear Parameter Varying Models

Hallouzi, Redouane; Verdult, Vincent; Babuška, Robert; Verhaegen, Michel

doi:10.3182/20050703-6-cz-1902.01822

Cited by 25 publications

(18 citation statements)

References 11 publications

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“…The proposed method is successfully applied for the identification of a component fault, an actuator fault and partial sensor faults in a linearized model of a VTOL aircraft. Future research will focus on extending the proposed method to FDI for nonlinear systems by using linear parameter varying models (Hallouzi et al, 2005). Furthermore, the issue of "distance" between the models in the multiple model set will be investigated.…”

Section: Discussionmentioning

confidence: 99%

Model Weight and State Estimation for Multiple Model Systems Applied to Fault Detection and Identification

Hallouzi

Verhaegen

Babuška

et al. 2006

IFAC Proceedings Volumes

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Section: Discussionmentioning

confidence: 99%

Model Weight and State Estimation for Multiple Model Systems Applied to Fault Detection and Identification

Hallouzi

Verhaegen

Babuška

et al. 2006

IFAC Proceedings Volumes

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“…The same argument is also true for observer based FDI. Therefore, a natural extension of the LTI based FDI approaches, is to consider LPV system based FDI (see for example [11][12][13][14][15] ) to automatically schedule the observers or detection filter gains. This is motivated by the convenience associated with extending the LTI schemes to LPV systems, which guarantee performance and stability over a wide operating envelope, rather than completely redesigning the scheme to suit nonlinear systems.…”

Section: Introductionmentioning

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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“…An alternative attractive solution is to represent the non-linear system as an LPV one. The main advantage of LPV models is that they allow applying powerful linear design tools to complex non-linear models (Hallouzi et al, 2005). Various candidate LPV system modeling techniques in the fault-free case are presented by Henrion et al (2005) as well as Wan and Kothare (2003).…”

Section: S Montes De Oca Et Almentioning

confidence: 99%

Fault-tolerant control strategy for actuator faults using LPV techniques: Application to a two degree of freedom helicopter

de¹,

Puig²,

Witczak³

et al. 2012

International Journal of Applied Mathematics and Computer Science

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In this paper, a Fault Tolerant Control (FTC) strategy for Linear Parameter Varying (LPV) systems that can be used in the case of actuator faults is proposed. The idea of this FTC method is to adapt the faulty plant instead of adapting the controller to the faulty plant. This approach can be seen as a kind of virtual actuator. An integrated FTC design procedure for the fault identification and fault-tolerant control schemes using LPV techniques is provided as well. Fault identification is based on the use of an Unknown Input Observer (UIO). The FTC controller is implemented as a state feedback controller and designed using polytopic LPV techniques and Linear Matrix Inequality (LMI) regions in such a way as to guarantee the closed-loop behavior in terms of several LMI constraints. To assess the performance of the proposed approach, a two degree of freedom helicopter is used.

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Fault Detection and Identification of Actuator Faults Using Linear Parameter Varying Models

Cited by 25 publications

References 11 publications

Model Weight and State Estimation for Multiple Model Systems Applied to Fault Detection and Identification

Model Weight and State Estimation for Multiple Model Systems Applied to Fault Detection and Identification

Actuator and Sensor Fault Reconstruction Using an LPV Sliding Mode Observer

Fault-tolerant control strategy for actuator faults using LPV techniques: Application to a two degree of freedom helicopter

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