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Predictive modeling of BLDC motor performance in UAV systems using ensemble learning

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Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering

Published online on

Abstract

Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, Ahead of Print.
Accurate prediction of thrust and torque is essential for optimizing the performance, energy efficiency, and control of brushless direct current (BLDC) motors in unmanned aerial vehicles (UAVs). Traditional physics-based models often struggle to capture ...