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Robust sensor fault estimation for descriptor-LPV systems with unmeasurable gain scheduling functions: application to an anaerobic bioreactor

100%

López-Estrada F.-R., Ponsart J.-C., Theilliol D., Astorga-Zaragoza C.-M., Camas-Anzueto J.-L.

International Journal of Applied Mathematics and Computer Science

2015

tom 25

nr 2

233-244

This paper addresses the design of a state estimation and sensor fault detection, isolation and fault estimation observer for descriptor-linear parameter varying (D-LPV) systems. In contrast to where the scheduling functions depend on some measurable time varying state, the proposed method considers the scheduling function depending on an unmeasurable state vector. In order to isolate, detect and estimate sensor faults, an augmented system is constructed by considering faults to be auxiliary state vectors. An unknown input LPV observer is designed to estimate simultaneously system states and faults. Sufficient conditions to guarantee stability and robustness against the uncertainty provided by the unmeasurable scheduling functions and the influence of disturbances are synthesized via a linear matrix inequality (LMI) formulation by considering H∞ and Lyapunov approaches. The performances of the proposed method are illustrated through the application to an anaerobic bioreactor model.

Systematic fault tolerant control based on adaptive Thau observer estimation for quadrotor UAVs

100%

Cen Z., Noura H., Younes Y.

International Journal of Applied Mathematics and Computer Science

2015

tom 25

nr 1

159-174

A systematic fault tolerant control (FTC) scheme based on fault estimation for a quadrotor actuator, which integrates normal control, active and passive FTC and fault parking is proposed in this paper. Firstly, an adaptive Thau observer (ATO) is presented to estimate the quadrotor rotor fault magnitudes, and then faults with different magnitudes and time-varying natures are rated into corresponding fault severity levels based on the pre-defined fault-tolerant boundaries. Secondly, a systematic FTC strategy which can coordinate various FTC methods is designed to compensate for failures depending on the fault types and severity levels. Unlike former stand-alone passive FTC or active FTC, our proposed FTC scheme can compensate for faults in a way of condition-based maintenance (CBM), and especially consider the fatal failures that traditional FTC techniques cannot accommodate to avoid the crashing of UAVs. Finally, various simulations are carried out to show the performance and effectiveness of the proposed method.

Novel optimal recursive filter for state and fault estimation of linear stochastic systems with unknown disturbances

86%

Khémiri K., Hmida F., Ragot J., Gossa M.

International Journal of Applied Mathematics and Computer Science

2011

tom 21

nr 4

629-637

This paper studies recursive optimal filtering as well as robust fault and state estimation for linear stochastic systems with unknown disturbances. It proposes a new recursive optimal filter structure with transformation of the original system. This transformation is based on the singular value decomposition of the direct feedthrough matrix distribution of the fault which is assumed to be of arbitrary rank. The resulting filter is optimal in the sense of the unbiased minimum-variance criteria. Two numerical examples are given in order to illustrate the proposed method, in particular to solve the estimation of the simultaneous actuator and sensor fault problem and to make a comparison with the existing literature results.

Ograniczanie wyników

3 International Journal of Applied Mathematics and Computer Science

1 Astorga-Zaragoza C.-M.

1 Camas-Anzueto J.-L.

1 Cen Z.

1 Gossa M.

1 Hmida F.

1 Khémiri K.

1 López-Estrada F.-R.

1 Noura H.

1 Ponsart J.-C.

1 Ragot J.

1 Theilliol D.

1 Younes Y.

2 2015

1 2011

Wyniki wyszukiwania

Robust sensor fault estimation for descriptor-LPV systems with unmeasurable gain scheduling functions: application to an anaerobic bioreactor

Systematic fault tolerant control based on adaptive Thau observer estimation for quadrotor UAVs

Novel optimal recursive filter for state and fault estimation of linear stochastic systems with unknown disturbances