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Frontiers of Information Technology & Electronic Engineering
ISSN 2095-9184 (print), ISSN 2095-9230 (online)
2021 Vol.22 No.7 P.1002-1009
Motor speed estimation and failure detection of a small UAV using density of maxima
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.
Key words: Unmanned aerial vehicle (UAV), Speed identification, Failure detection, Chaos
Abel LIMA-FILHO3，Jorge Gabriel RAMOS4，Alisson V. BRITO1
1帕拉伊巴联邦大学系统工程与机器人技术实验室，巴西若昂佩索阿
2皮奥伊联邦大学信息系统系，巴西皮库斯
3帕拉伊巴联邦大学机械工程系，巴西若昂佩索阿
4帕拉伊巴联邦大学物理系，巴西若昂佩索阿
摘要：介绍了基于混沌的最大密度信号分析技术在无刷直流电机分析中的应用。利用了从电流信号最大密度估计得出的相关系数。通过实验实现了无刷电机在试验台上的速度估计以及在小型无人机上的故障检测。实验结果表明，在97.8%的案例中可估计电机速度，在82.75%的分析案例中可检测故障。
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DOI:
10.1631/FITEE.2000149
CLC number:
TP18; V279
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On-line Access:
2021-07-20
Received:
2020-04-04
Revision Accepted:
2020-06-09
Crosschecked:
2021-03-17