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Drones 2018, 2(2), 14; doi:10.3390/drones2020014

A Novel Approach for Brushless DC Motors Characterization in Drones Based on Chaos

1
Department of Mechanical Engineering, Universidade Federal da Paraiba (UFPB), Joao Pessoa 58051-085, Brazil
2
Department of Physics, Universidade Federal da Paraiba (UFPB), Joao Pessoa 58051-085, Brazil
3
Center of Informatics, Universidade Federal da Paraiba (UFPB), Joao Pessoa 58051-085, Brazil
*
Authors to whom correspondence should be addressed.
Received: 12 January 2018 / Revised: 27 March 2018 / Accepted: 6 April 2018 / Published: 10 April 2018
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Abstract

A novel technique named Signal Analysis based on Chaos using Density of Maxima (SAC-DM) is presented to analyze Brushless Direct Current (BLDC) motors behavior. These motors are vastly used in electric vehicles, especially in Drones. The proposed approach is compared with the traditional Fast-Fourier Transform (FFT) and the experiments analyzing a BLDC motor of a drone demonstrates similar results but computationally simpler than that. The main contribution of this technique is the possibility to analyze signals in time domain, instead of the frequency domain. It is possible to identify working and faulty behavior with less computational resources than the traditional approach. View Full-Text
Keywords: Chaos; Brushless DC Motors; Densitity of Maxima; UAVs Chaos; Brushless DC Motors; Densitity of Maxima; UAVs
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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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V. Medeiros, R.L.; G. S. Ramos, J.G.; Nascimento, T.P.; C. Lima Filho, A.; Brito, A.V. A Novel Approach for Brushless DC Motors Characterization in Drones Based on Chaos. Drones 2018, 2, 14.

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