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Wyszukujesz frazę "actuator fault diagnosis" wg kryterium: Temat


Wyświetlanie 1-2 z 2
Tytuł:
Detection and identification of loss of efficiency faults of flight actuators
Autorzy:
Ossmann, D.
Varga, A.
Powiązania:
https://bibliotekanauki.pl/articles/330772.pdf
Data publikacji:
2015
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
aerospace engineering
fault detection
fault diagnosis
loss of efficiency type of faults
flight actuator faults
inżynieria lotnicza
detekcja uszkodzeń
diagnostyka uszkodzeń
Opis:
We propose linear parameter-varying (LPV) model-based approaches to the synthesis of robust fault detection and diagnosis (FDD) systems for loss of efficiency (LOE) faults of flight actuators. The proposed methods are applicable to several types of parametric (or multiplicative) LOE faults such as actuator disconnection, surface damage, actuator power loss or stall loads. For the detection of these parametric faults, advanced LPV-model detection techniques are proposed, which implicitly provide fault identification information. Fast detection of intermittent stall loads (seen as nuisances, rather than faults) is important in enhancing the performance of various fault detection schemes dealing with large input signals. For this case, a dedicated fast identification algorithm is devised. The developed FDD systems are tested on a nonlinear actuator model which is implemented in a full nonlinear aircraft simulation model. This enables the validation of the FDD system’s detection and identification characteristics under realistic conditions.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2015, 25, 1; 53-63
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Simultaneous state and parameter estimation based actuator fault detection and diagnosis for an unmanned helicopter
Autorzy:
Wu, C.
Qi, J.
Song, D.
Qi, X.
Han, J.
Powiązania:
https://bibliotekanauki.pl/articles/329847.pdf
Data publikacji:
2015
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
actuator fault detection
actuator fault diagnosis
unmanned helicopter
Kalman filter
set membership filter
adaptive scheme
detekcja uszkodzeń
diagnostyka uszkodzeń
śmigłowiec bezzałogowy
filtr Kalmana
Opis:
Simultaneous state and parameter estimation based actuator fault detection and diagnosis (FDD) for single-rotor unmanned helicopters (UHs) is investigated in this paper. A literature review of actuator FDD for UHs is given firstly. Based on actuator healthy coefficients (AHCs), which are introduced to represent actuator faults, a combined dynamic model is established with the augmented state containing both the flight state and AHCs. Then the actuator fault detection and diagnosis problem is transformed into a general nonlinear estimation one: given control inputs and the measured flight state contaminated by measurement noises, estimate both the flight state and AHCs recursively in each time-step, which is also known as the simultaneous state and parameter estimation problem. The estimated AHCs can further be used for fault tolerant control (FTC). Based on the existing widely used nonlinear estimation methods such as the unscented Kalman filter (UKF) and the extended set-membership filter (ESMF), three kinds of adaptive schemes (KF-UKF, MIT-UKF and MIT-ESMF) are proposed by our team to improve the actuator FDD performance. A comprehensive comparative study on these different estimation methods is given in detail to illustrate their advantages and disadvantages when applied to unmanned helicopter actuator FDD.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2015, 25, 1; 175-187
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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