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Computers 2018, 7(2), 23; https://doi.org/10.3390/computers7020023

Failure Detection of Composites with Control System Corrective Response in Drone System Applications

Faculty of Computing, Engineering & Sciences, University of South Wales, Pontypridd CF37 1DL, UK
The paper is an extended version of our paper published in 1st International Symposium on Computer Science and Intelligent Control (ISCSIC 2017).
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Received: 4 March 2018 / Revised: 5 April 2018 / Accepted: 6 April 2018 / Published: 9 April 2018
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Abstract

The paper describes a novel method for the detection of damage in carbon composites as used in drone frames. When damage is detected a further novel corrective response is initiated in the quadcopter flight controller to switch from a four-arm control system to a three-arm control system. This is made possible as a symmetrical frame is utilized, which allows for a balanced weight distribution between both the undamaged quadcopter and the fallback tri-copter layout. The resulting work allows for continued flight where this was not previously possible. Further developing work includes improved flight stability with the aid of an underslung load model. This is beneficial to the quadcopter as a damaged arm attached to the main body by the motor wires behaves as an underslung load. The underslung load works are also transferable in a dual master and slave drone system where the master drone transports a smaller slave drone by a tether, which acts as an underslung load. View Full-Text
Keywords: drone system; operational safety; controller design; failure detection; printed circuit board (PCB) design drone system; operational safety; controller design; failure detection; printed circuit board (PCB) design
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Bowkett, M.; Thanapalan, K.; Constant, E. Failure Detection of Composites with Control System Corrective Response in Drone System Applications. Computers 2018, 7, 23.

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