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.
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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Jefferson S. SOUZA and Frank C. VERAS designed the research. Jefferson S. SOUZA, Moises C. BEZERRIL, and Matheus A. SILVA performed the experiments and processed the data. Alisson V. BRITO drafted the manuscript. Abel LIMA-FILHO and Jorge Gabriel RAMOS helped organize the manuscript and the math formalism. Alisson V. BRITO revised and finalized the paper.
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Jefferson S. SOUZA, Moises C. BEZERRIL, Mateus A. SILVA, Frank C. VERAS, Abel LIMA-FILHO, Jorge Gabriel RAMOS, and Alisson V. BRITO declare that they have no conflict of interest.
Project supported by the Higher Education Improvement Coordination (CAPES) and the National Council for the Scientific and Technological Development (CNPq), Brazil
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Souza, J.S., Bezerril, M.C., Silva, M.A. et al. Motor speed estimation and failure detection of a small UAV using density of maxima. Front Inform Technol Electron Eng 22, 1002–1009 (2021). https://doi.org/10.1631/FITEE.2000149
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DOI: https://doi.org/10.1631/FITEE.2000149