Analysis of Vibration Characteristics of EFT-E610P Drone Using Modal Analysis Method
Submitted : 2025-12-02, Published : 2026-01-22.
Abstract
This research examines the vibration characteristics of the EFT-E610P type agricultural drone through flight tests and modal analysis. It aims to identify and analyze vibration properties like amplitude deviation, period, frequency, and waveform in the drone's mechanical system to ensure flight stability and safety. The study collects real-time vibration data using accelerometer sensors, processes it using Fourier transform, and interprets the main vibration features. Results show that the vibration parameters remain within a reasonable range corresponding to the drone’s natural structural properties, with no signs of instability or harmful oscillations. Amplitude fluctuations and dominant frequency shifts indicate the drone’s dynamic response to speed and structural changes but remain stable. The study concludes that the EFT-E610P drone exhibits normal vibration behavior during tests, with no negative impact on flight performance or safety, supporting its effective operation.
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[1] V. V. Sangeetha Jebalin et al., “Optimization of Herbicide Dose and Spray Fluid for Drone-Based Weed Management in Irrigated Barnyard Millet,” Appl. Ecol. Environ. Res., vol. 22, no. 6, pp. 6173–6186, 2024, doi: 10.15666/aeer/2206_61736186.
[2] V. V. S. Jebalin et al., “Effects of drone-assisted precision weed management on irrigated barnyard millet,” Plant Sci. Today, vol. 11, p. 5372, Dec. 2024, doi: 10.14719/pst.5372.
[3] “E SERIES HEXACOPTER (10-20KG AGRICULTURE DRONE FRAME),” EFT Electronic Technology Co., Ltd., 2025. https://www.effort-tech.com/en/e6.
[4] J. Aminuddin, N. Effendy, S. Afrilianti, and H. Farras, “Penerapan Wavelet Transform pada Analisis Error Pembacaan Internal Measurement Unit dengan Berbagai Variasi Level Cairan pada Tangki Drone Sprayer di PT . Frogs Indonesia Yogyakarta,” vol. 2, no. 5, 2025.
[5] C. Widiasari and R. S. A. Dulan Este, “Rancang Bangun Drone Quadcopter Tanpa Awak Penyiram Pupuk Tanaman,” J. Elektro dan Mesin Terap., vol. 6, no. 2, pp. 81–90, 2020, doi: 10.35143/elementer.v6i2.4396.
[6] A. N. Hafizi, M. A. Asyraf, M. A. Haqimi, and M. M. Zahar, “Dron Perlumbaan Arduino dengan Kamera FPV,” Multidiscip. Appl. Res. Innov., vol. 4, no. 4, pp. 232–239, 2023.
[7] L. A. N. Wibawa, “Analisis Frekuensi Natural Rangka Main Landing Gear Pesawat UAV Menggunakan Ansys Workbench,” J. Mesin Nusant., vol. 5, no. 1, pp. 65–73, 2022, doi: 10.29407/jmn.v5i1.17580.
[8] R. Efendi and D. Sagita, “Teknologi Pertanian Masa Depan dan Peranannya dalam Menunjang Ketahanan Pangan,” Sultra J. Mech. Eng., vol. 1, no. 1, pp. 1–12, 2022, doi: 10.54297/sjme.v1i1.297.
[9] F. R. Tulungen, “Teknologi Pertanian Presisi Untuk Meningkatkan Efisiensi Produksi Padi Di Indonesia,” J. Cahaya Mandalika, vol. 5, no. 1, pp. 720–727, 2024.
[10] Z. Arifin, A. F. Zakki, and M. Iqbal, “Studi Karakteristik Getaran Global Kapal Supply Vessel 70 m dengan Menggunakan Metode Elemen Hingga,” J. Tek. Perkapalan, vol. 5, no. 1, pp. 137–141, 2017.
[11] D. Schäfer, C. Vidy, C. Mack, and J. Arnold, “Assessment of body-freedom flutter for an unmanned aerial vehicle,” CEAS Aeronaut. J., vol. 10, no. 3, pp. 845–857, 2019, doi: 10.1007/s13272-018-0353-9.
[12] A. B. Djatmiko, “Perancangan Sirip Roket RX 450 Akibat Pengaruh Terjadinya Flutter,” in Seminar Nasional Rekayasa dan Aplikasi Teknik Mesin di Industri, 2021, no. November, pp. 34–42.
[13] A. M. Chowdhury, A. Imran, and M. M. Hasan, “FFT-UAVNet: FFT Based Human Action Recognition for Drone Surveillance System,” 2023 5th Int. Conf. Sustain. Technol. Ind. 5.0, STI 2023, vol. 0, pp. 1–6, 2023, doi: 10.1109/STI59863.2023.10465205.
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