Developing an approach for identifying and fixing faults of angular velocity sensors on aerial vehicles
by Hong-Son Tran; Dinh-Dung Nguyen; Hong-Tien Nguyen; Thi-Thuy Tran; Van-Cong Tran; Thanh-Phong Le
International Journal of Sustainable Aviation (IJSA), Vol. 7, No. 4, 2021

Abstract: The new era of aerial vehicles necessitates intelligent approaches towards fault diagnosis to ensure a safe flight. Furthermore, a recent attempt to accommodate several aircraft in the airspace requires ensuring a safety level. This study proposed fault detection and diagnosis for angular velocity sensors (AVS) on aerial vehicles (AV). A novel approach to identify and fix faults of angular velocity sensors is presented based on these results: 1) a sensor fault is diagnosed through the diagnosis algorithm based on the sensor model; 2) a specific type of sensor fault is identified using a developed algorithm; 3) the specific fault is corrected by applying the specific algorithm. The proposed method is verified by using numerical simulation experiments. The simulation results show that the AVS faults caused by drifting signals and changing coefficients are identified and corrected automatically.

Online publication date: Tue, 14-Dec-2021

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