Jurnal Nasional Teknik Elektro dan Teknologi Informasi
Vol 10 No 1: Februari 2021

Analisis Perbandingan Kinerja Brushless Motor Menggunakan Metode Eksperimen

Erwan Eko Prasetiyo (STTKD)
Wahyuni Fajar Arum (Sekolah Tinggi Teknologi Kedirgantaraan)



Article Info

Publish Date
25 Feb 2021

Abstract

Energy-saving effort is a challenge in designing a UAV technology. One of many UAV components on the market is brushless motor. There is a possibility that the UAV component's performance does not match the existing specification data. Therefore, it is necessary to do component testing before designing a UAV. This paper presents the results of performance testing of brushless motors types A2212(6T), MR2205, and MT2204. Brushless motor performance is seen based on the amount of thrust, power, and the ratio between thrust to power (N/W). This testing uses an experimental method. The test uses a four-blade propeller type 5140 and a power supply with a DC output capacity of 15-30 V/50 A. The results of the brushless motor test at low power show that the A2212(6T)-2200KV type requires an average power of 25.858 W with a ratio of 0.042 N/W, the MR2205-2300KV type requires an average power of 22.166 W with a ratio of 0.052 N/W, and the MT2204-2300KV type requires an average power of 24.675 W with a ratio of 0.047 N/W. Based on the test data at working current below 1.877 A, it can be seen that the brushless motor type MR2205-2300KV has the best performance because it requires the least power and has the highest ratio value, compared to the other types.

Copyrights © 2021






Journal Info

Abbrev

JNTETI

Publisher

Subject

Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering

Description

Topics cover the fields of (but not limited to): 1. Information Technology: Software Engineering, Knowledge and Data Mining, Multimedia Technologies, Mobile Computing, Parallel/Distributed Computing, Artificial Intelligence, Computer Graphics, Virtual Reality 2. Power Systems: Power Generation, ...