In order to diagnose sensor faults in navigation system timely and accurately, a fault diagnosis method based on multi-sensor information fusion is proposed. In this paper, the redundant sensor information of the integrated navigation system is used to calculate the direction cosine similarity of the information vector, and then a Kalman filter is designed for INS/GPS data information fusion. Based on the optimal estimation, the deviation of the measured value of each sensor is obtained. Finally, the sensor injection fault scheme is verified on the semi-physical simulation platform. The experimental results show that the method can diagnose each fault type of sensor.
Integrated Navigation Fault Diagnosis Method Based on Multi-sensor Information Fusion
Lect. Notes Electrical Eng.
30.10.2021
9 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
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