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|Title:||Aileron Locking Fault Detection Based on Extended Kalman Filter for UAV||Authors:||Demircan, M.
Extended Kalman Filters
Flight Control Systems
|Issue Date:||Aug-2019||Publisher:||Association for Computing Machinery||Source:||Demircan, M., Kasnakoğlu, C. (2019, August). Aileron Locking Fault Detection Based on Extended Kalman Filter for UAV. In Proceedings of the 3rd International Conference on Vision, Image and Signal Processing (pp. 1-6).||Abstract:||This paper presents application of Nonlinear Extended Kalman Filter for aileron actuator locking scenario in Unmanned Aerial Vehicles and estimation of states to make comparison between sensor results and estimation results. At first, nonlinear state space system of UAV is formulated. Then, three faulty scenarios including three faulty aileron actuators locking and one nominal scenario is formed. After that, Extended Kalman Filter is applied to estimate the roll rate state at the same time with measurements. Finally, measurement and filter estimations for the roll rate state outcomes are commented. The system is modelled in MATLAB/Simulink. The performances of the method have been commented using simulation results. © 2019 ACM.||URI:||https://hdl.handle.net/20.500.11851/3864
|Appears in Collections:||Elektrik ve Elektronik Mühendisliği Bölümü / Department of Electrical & Electronics Engineering|
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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