Saturday , April 27 2024

Duty Cycles Mathematical Analysis and Empirical Thrust-Force Performance Curves of a Brushless Electric Motor

Andra TOFAN-NEGRU1*, Amado ȘTEFAN2, Cristian VIDAN1,3
1 Centre of Excellence in Self-Propelled Systems and Technologies for Defence and Security, Military Technical
Academy “Ferdinand I”, 39-49 George Coşbuc Avenue, District 5, 050141, Bucharest, Romania
andra.negru@mta.ro (*Corresponding author)
2 Department of Aviation Integrated Systems and Mechanics, Military Technical Academy “Ferdinand I”,
39-49 George Coşbuc Avenue, District 5, 050141, Bucharest, Romania
amado.stefan@mta.ro
3 Doctoral School of Aerospace Engineering, Politehnica University of Bucharest,
313 Splaiul Independenței, 060042, Bucharest, Romania
cristian.vidan@mta.ro

Abstract: In recent years, research into the design, development and use of drones has been of great interest. In this paper, methods and equipment for testing electric motors in the operating regimes are presented. These types of brushless electric motors are mainly used in the equipment of rotary wing UAVs (unmanned aerial vehicles). Determining their performance curves is essential for correlating operating regime data with the response of the structure to the thrust force developed by the motor-propeller assembly. The mathematical analysis of the duty cycles data correlation with the rotor rotation speed involves the use of curve fitting and smoothing functions. To determine the thrust force developed by the motor-propeller assembly, a Wheatstone half-bridge was carried out, using strain gauges.

Keywords: Quadcopter arm, Tachometer, RPM, Linear regression function, Polynomial regression function, Residual diagram, Residual histogram, Strain gauge, Thrust force, Performance curve.

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CITE THIS PAPER AS:
Andra TOFAN-NEGRU, Amado ȘTEFAN, Cristian VIDAN, Duty Cycles Mathematical Analysis and Empirical Thrust-Force Performance Curves of a Brushless Electric Motor, Studies in Informatics and Control, ISSN 1220-1766, vol. 32(4), pp. 81-94, 2023. https://doi.org/10.24846/v32i4y202308