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Prediction and Verification of Hover Performance through Multi-Copter Propulsion System Test Results

멀티콥터의 추진 시스템 실험 결과를 통한 제자리 비행 성능 예측 및 검증

  • Received : 2017.10.30
  • Accepted : 2018.06.30
  • Published : 2018.07.01

Abstract

The endurance of the multi-copter is one of the important variables that determine the mission performance. Therefore, accurate endurance should be defined as essential for performing effective missions. In this paper, we present the results of the study on the flight performance of the aircraft, especially the hovering of the drone(multi-copter). Unlike conventional aircraft, which consider aerodynamic performance by the fuselage, the multi-copter is mostly determined by the propulsion system. Therefore, the research method classifies the various parts constituting the drone system into functions, analyzes the performance of the unit parts and obtains the experimental data by sorting out the specifications and functions at the component level and mathematical formulation, The results of this study are as follows. In addition, the 5kg class quad copter was used to predict and verify the voltage change with endurance through analysis of in situ flight. By predicting endurance under various conditions, it can help design/build the right Multi-copter for mission.

본 논문은 최근에 각광 받고 있는 드론(멀티콥터)과 관련하여 비행체의 비행 성능, 특히 비행 가능 시간에 대한 예측과 실험 데이터를 통한 검증 등을 목표로 하여, 제자리 비행에 대한 연구 결과를 제시 하고 있다. 연구 방법을 드론 시스템을 구성하고 있는 여러 부품들을 기능별로 분류하여 부품 수준에서의 제원과 기능에 대한 정리 및 수학적 수식화를 통하여 단위 부품의 성능을 분석 및 실험 데이터를 확보하고, 이들 단위 부품 데이터의 조합을 통하여 드론 시스템의 제자리비행 성능을 예측하는 연구 결과를 보여 주고 있다. 또한 5kg급 쿼드콥터를 이용하여 제자리 비행에 대한 분석을 통하여 비행시간에 따른 전압 변화를 예측, 검증 하였으며 해당 방법을 통해 제자리 비행시간을 예측하였다.

Keywords

References

  1. Oh, S. I., "A Case Study Civilian Drone," Korean Broadcast Media Engineering Conference, July 2015, pp.315-318.
  2. Choi, Y. C., and An, H. S., "Current and Technology Development Trends and Prospects of Drones," The Korean Institute of Electrical Engineers, Vol. 66, No. 12, December 2015, pp. 20-25.
  3. Yoo, S. H., Ahn, C. K., and Kim J. H., "Introduction to Dron technology and development trend," The Korean Institute of Electrical Engineers, Vol. 66, No. 2, February 2017, pp.19-23.
  4. Kim, M. W., Hwang, I. S., and Jang, B. U., "Multi-copter sizing process through semi-empirical and statistical database," 2015 KSAS Fall Conference, November 2015, pp. 1369-1372.
  5. Jeong, J. S., Byun, Y. S., Song, W. J., and Kang, B. S., "Study on Performance Prediction of Electric Propulsion System for Multirotor UAVs," The Korean Society for Precision Engineering, Vol. 33, No. 6, June 2016, pp. 499-508. https://doi.org/10.7736/KSPE.2016.33.6.499
  6. Wang B., HOU Z., LU Y., and ZHU X., "Hover performance estimation and validation of battery powered vertical takeoff and landing aircraft," Central South University Press and Springer-Verlag Berlin Heidelberg, 2016.
  7. Dmitry B., Steve H., and Eric N. J., "Electric Multirotor UAV Propulsion System Sizing for Performance Prediction and Design Optimization," 57th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, January 2016.
  8. Omar, N., Bossche, P. V. D., Coosemans, T., and Mierlo, J. V., "Peukert Revisited-Critical Appraisal and Need for Modification for Lithium-Ion Batteries," Energies, Vol. 6, No. 11, 2013, pp.5625-5641. https://doi.org/10.3390/en6115625
  9. Lim, J. K., Lim D. Y., Windarko, N. A., Choi, J. H., and Jeong, G. B., "Electrical Modeling of Lithium-Polymer Battery," Power Electronics Society, Vol. 16, Issue 2, April 2011, pp. 199-207.
  10. Ryi, J. H., Rhee, W., Song G. W., Kim, D. H., Kim, S. B., and Choi, J. S., "Study on Performance Verification Test of Experimental System for Small-Scaled Rotor using Operational Loads Survey Model Rotor," Proceeding of The Korean Society for Aeronautical and Space Sciences Spring Conference, April 2012, pp.1212-1217.