Please use this identifier to cite or link to this item: https://sci.ldubgd.edu.ua/jspui/handle/123456789/17904
Title: Combined Method Development the BLDC Electric Drive Model of Drone
Authors: Kopchak, Bohdan
Oksentyuk, Vira
Kushnir, Andrii
Mandiuk, Andrii
Kolesnik, Dmytro
Babii, Ihor
Keywords: BLDC motor
Ansys Maxwell RMxprt
Issue Date: 17-Feb-2026
Publisher: IEEE 18 th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET)
Abstract: A design approach for developing a new BLDC motor for a drone has been created and tested in Ansys Maxwell RMxprt based on several predefined parameters, including rated power, voltage, speed, torque, and current, followed by the required design calculations. To verify and assess the adequacy of the obtained results, a prototype motor was used for comparison. The distinguishing feature of the proposed approach is that a motor with similar key parameters is selected as a prototype; corrections at the initial stages are applied to the main dimensions, while at the final stages the geometry of the air gap is adjusted. The number of design iterations depends on the accuracy of the target motor parameters, which in this work was set and achieved with an error not exceeding 10%. A drone electric drive model based on the designed BLDC motor was developed in MATLAB Simulink using the results of the Ansys Maxwell RMxprt design calculations. The BLDC-based drone drive model was investigated in MATLAB Simulink under various operating conditions. The proposed approach demonstrated its effectiveness and potential for creating new motors and electric drive systems, particularly for drones, based on BLDC technology and for their further analysis. The conducted studies constitute a basis for developing an accurate model of a drone propeller electric drive. The propeller model is complex and highly sensitive to rotational speed. The studies presented in the article allow further transition to comprehensive investigations of drone thrust behavior.
URI: https://sci.ldubgd.edu.ua/jspui/handle/123456789/17904
Appears in Collections:2026

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