Motor speed estimation and failure detection of a smallUAVusing density ofmaxima∗

Jefferson S. SOUZA; Moises C. BEZERRIL; Mateus A. SILVA; Frank C. VERAS; Abel LIMA-FILHO; Jorge Gabriel RAMOS; Alisson V. BRITO

doi:10.1631/FITEE.2000149

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Front. Inform. Technol. Electron. Eng ›› 2021, Vol. 22 ›› Issue (7) : 1002-1009. DOI: 10.1631/FITEE.2000149

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Motor speed estimation and failure detection of a smallUAVusing density ofmaxima∗

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Abstract

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.

Keywords

Unmanned aerial vehicle (UAV) / Speed identification / Failure detection / Chaos

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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 smallUAVusing density ofmaxima∗. Front. Inform. Technol. Electron. Eng, 2021, 22(7): 1002‒1009 https://doi.org/10.1631/FITEE.2000149