Sinusoidal Versus Square-Wave Current Supply of PM Brushless DC Drives: A Convenience Analysis

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Sinusoidal Versus Square-Wave Current Supply of PM Brushless DC Drives: A Convenience Analysis

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Bertoluzzo, Manuele / Buja, Giuseppe / Keshri, Ritesh Kumar / MENIS, ROBERTO

Permanent-magnet (PM) brushless direct current (BLDC) drives are utilized in a variety of applications because of their inherent features and would be even more utilized if their torque performance could be improved. Indeed, when supplied with square-wave currents, the torque-speed characteristic undergoes a drop at high speeds, and a significant torque ripple arises at both low and high speeds due to the commutation phenomena. In this paper, the sinusoidal current supply of the PM BLDC motors is investigated in depth, and an analytical formulation of the torque-speed characteristic, the torque ripple, and the base speed for such a supply are found. Based on the resulting equations, a thorough convenience analysis of the sinusoidal current supply is carried out with respect to the square-wave current in the presence of the commutation phenomena, which is hereafter termed as the real square-wave current supply. Simulation and experimental tests for a study case are given to corroborate the theoretical results. Generation of the sinusoidal current references using Hall sensors is also discussed.

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Dokumentinformationen

Titel :

Sinusoidal Versus Square-Wave Current Supply of PM Brushless DC Drives: A Convenience Analysis

Beteiligte:

Bertoluzzo, Manuele (Autor:in) / Buja, Giuseppe (Autor:in) / Keshri, Ritesh Kumar (Autor:in) / MENIS, ROBERTO (Autor:in) / Bertoluzzo, Manuele / Buja, Giuseppe / Keshri, Ritesh Kumar / Menis, Roberto

Erscheinungsdatum :

2015-01-01

DOI :

https://doi.org/10.1109/TIE.2015.2455518

Medientyp :

Aufsatz (Zeitschrift)

Format :

Elektronische Ressource

Sprache :

Englisch

Schlagwörter :

Brushless motor , Commutation , Current supplie , DC motor , Induction motor , Torque , Electrical and Electronic Engineering , Control and Systems Engineering , Computer Science Applications1707 Computer Vision and Pattern Recognition