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CLC number: TP18; V279

On-line Access: 2021-07-20

Received: 2020-04-04

Revision Accepted: 2020-06-09

Crosschecked: 2021-03-17

Cited: 0

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Citations:  Bibtex RefMan EndNote GB/T7714


Alisson V. Brito


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Frontiers of Information Technology & Electronic Engineering  2021 Vol.22 No.7 P.1002-1009


Motor speed estimation and failure detection of a small UAV using density of maxima

Author(s):  Jefferson S. Souza, Moises C. Bezerril, Mateus A. Silva, Frank C. Veras, Abel Lima-Filho, Jorge Gabriel Ramos, Alisson V. Brito

Affiliation(s):  Laboratory of System Engineering and Robotics, Federal University of Paraiba, Joao Pessoa, Brazil; more

Corresponding email(s):   alissonbrito@ci.ufpb.br

Key Words:  Unmanned aerial vehicle (UAV), Speed identification, Failure detection, Chaos

Jefferson S. Souza, Moises C. Bezerril, Mateus A. Silva, Frank C. Veras, Abel Lima-Filho, Jorge Gabriel Ramos, Alisson V. Brito. Motor speed estimation and failure detection of a small UAV using density of maxima[J]. Frontiers of Information Technology & Electronic Engineering, 2021, 22(7): 1002-1009.

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journal="Frontiers of Information Technology & Electronic Engineering",
publisher="Zhejiang University Press & Springer",

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%A Jefferson S. Souza
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A1 - Mateus A. Silva
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This work presents the application of the technique named signal analysis based on chaos using density of maxima to analyze brushless direct current motors. It uses a correlation coefficient estimated from the density of maxima of the current signal. This study demonstrates in experiments the speed estimation of a brushless motor on a testbench and failure detection in a small flying drone. The experimental results demonstrate that it is possible to estimate the speed in 97.8% of the cases and to detect failure in 82.75% of the analyzed cases.


Jefferson S. SOUZA1,Moises C. BEZERRIL1,Mateus A. SILVA1,Frank C. VERAS2
Abel LIMA-FILHO3,Jorge Gabriel RAMOS4,Alisson V. BRITO1


Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article


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