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
Front. Inform. Technol. Electron. Eng ›› 2021, Vol. 22 ›› Issue (7) : 1002 -1009.
Motor speed estimation and failure detection of a smallUAVusing density ofmaxima∗
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.
Unmanned aerial vehicle (UAV) / Speed identification / Failure detection / Chaos
Zhejiang University Press
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