ICUAS 2021 Paper Abstract

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Paper ThA1.1

Haaland, Ole Max (Norwegian University of Science and Technology), Johansen, Tor Arne (Norwegian University of Science and Technology), Gryte, Kristoffer (Norwegian University of Science and Technology), Hann, Richard (Norwegian University of Science and Technology), Wenz, Andreas Wolfgang (Norwegian University of Science and Technology)

Detection and Isolation of Propeller Icing and Electric Propulsionsystem Faults in Fixed-Wing UAVs

Scheduled for presentation during the Regular Session "FDI and Safety" (ThA1), Thursday, June 17, 2021, 10:30−10:50, Macedonia Hall

2021 International Conference on Unmanned Aircraft Systems (ICUAS), June 15-18, 2021, Athens, Greece

This information is tentative and subject to change. Compiled on March 28, 2024

Keywords Fail-Safe Systems, Airworthiness, Levels of Safety

Abstract

Fault in the propulsion system of UAVs is one ofthe main causes for incidents and loss of the aircraft. In electricpropulsion systems typical faults are ball-bearing degradationleading to increased friction and losses, as well as propellericing when operating in certain conditions. In this paper wepropose a fault detection and isolation (FDI) framework thatuses model-based estimators of the various faults, implementedwith multiple Kalman and Bayes filters. The method is testedand shown to be effective in a simulation setup using a fixed-wing UAV simulator.

 

 

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