Title: Developing an approach for identifying and fixing faults of angular velocity sensors on aerial vehicles

Authors: Hong-Son Tran; Dinh-Dung Nguyen; Hong-Tien Nguyen; Thi-Thuy Tran; Van-Cong Tran; Thanh-Phong Le

Addresses: The Faculty of Control Engineering, Le Quy Don Technical University, 100000 Hanoi, Vietnam ' Department of Aircraft System Design, Faculty of Aerospace Engineering, Le Quy Don Technical University, 100000 Hanoi, Vietnam; Department of Aeronautics and Naval Architecture, Budapest University of Technology and Economics, 1111 Budapest, Hungary ' Air Defence – Air Force Academy, 100000 Hanoi, Vietnam ' Academy of Military Science and Technology, 100000 Hanoi, Vietnam ' Air Defence – Air Force Academy, 100000 Hanoi, Vietnam ' Faculty of Control Engineering, Le Quy Don Technical University, 100000 Hanoi, Vietnam

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.

Keywords: block sensor; fault diagnosis; fault identifies; angular velocity sensor; advanced control system; fault fixed.

DOI: 10.1504/IJSA.2021.10042051

International Journal of Sustainable Aviation, 2021 Vol.7 No.4, pp.319 - 333

Received: 25 Jun 2021
Accepted: 21 Aug 2021

Published online: 14 Dec 2021 *

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