Sensor and actuator FDI applied to an UAV dynamic model

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13 Atıf (Scopus)

Özet

In this paper, an approach to isolate the sensor and control surface/actuator failures affecting the innovation of Kalman filter was proposed and applied to an UAV dynamic model. To diagnose if the fault is a sensor fault or an actuator fault, a two-stage Kalman filter (TSKF) insensitive to actuator faults is developed. In the proposed method, sensor faults are isolated by the normalized innovation of Kalman filter. Furthermore, an adaptive linear adaptive TSKF algorithm is used to estimate the loss of control effectiveness and the magnitude of degree of stuck faults in a UAV model. Control effectiveness factors and stuck magnitudes are used to quantify faults entering control systems through actuators. In the simulations, the longitudinal and lateral dynamics of the UAV model is considered, and detection and isolation of sensor and control surface/actuator failures are examined.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığı19th IFAC World Congress IFAC 2014, Proceedings
EditörlerEdward Boje, Xiaohua Xia
YayınlayanIFAC Secretariat
Sayfalar12220-12225
Sayfa sayısı6
ISBN (Elektronik)9783902823625
DOI'lar
Yayın durumuYayınlandı - 2014
Etkinlik19th IFAC World Congress on International Federation of Automatic Control, IFAC 2014 - Cape Town, South Africa
Süre: 24 Ağu 201429 Ağu 2014

Yayın serisi

AdıIFAC Proceedings Volumes (IFAC-PapersOnline)
Hacim19
ISSN (Basılı)1474-6670

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???event.eventtypes.event.conference???19th IFAC World Congress on International Federation of Automatic Control, IFAC 2014
Ülke/BölgeSouth Africa
ŞehirCape Town
Periyot24/08/1429/08/14

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Publisher Copyright:
© IFAC.

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