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2017 Vol.36, Issue 2
Development of aerodynamic noise prediction technique for high efficiency and low noise design of unmanned aerial vehicle propeller

멀티로터형 무인항공기 프로펠러의 고효율 및저소음 설계를 위한 공력 소음 예측 기법 개발

Doo Young Gwak1
,
Soogab Lee2*
곽 두영1
,
이 수갑2*
1BK21 플러스 융합지식기반 창조형 기계항공인재 양성사업단
2서울대학교 공학연구원
*교신저자. *Corresponding Author. 
31 March 2017. pp. 89-99
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Abstract

Multi-rotor type UAV (Unmanned Aerial Vehicle)s are expanding their applications not only for military purposes but also for private industries such as aerial photography and unmanned delivery vehicles. For wider use of unmanned aerial vehicles, studies should be carried out to improve aerodynamic efficiency and reduce noise of propellers, which can be achieved based on techniques of predicting aerodynamic performance and noise in a given environment. In this study, aerodynamic and noise prediction techniques were developed for a small unmanned aerial vehicle propeller, and it was verified by comparing it with actual measurement results. Thrust and torque due to the change of r/min and the frequency spectral prediction at a given position secured the reliability of the prediction method, which provides a basis for the shape design of the propeller.

Keywords
Unmanned aerial vehicle
Aerodynamic noise
Aerodynamic prediction
Noise prediction

멀티로터형 무인항공기는 군사용 목적뿐 아니라 항공 촬영 및 무인 택배 수단 등 민간 산업까지 그 활용 범위를 넓혀가고 있다. 무인항공기의 보다 폭넓은 활용을 위해서는 추진체인 프로펠러의 공력 효율 개선과 소음의 저감을 위한 연구가 선행되어야 하며, 이는 주어진 환경에서 공력 성능 및 소음을 예측할 수 있는 기술이 바탕이 되어야만 가능하다. 본 연구에서는 소형 무인항공기 프로펠러를 대상으로 공력 및 소음 예측 기법을 개발하고, 실제 측정을 통한 결과와의 비교를 통해 검증하였다. 분당 회전수의 변화에 따른 추력 및 토크와 주어진 위치에서의 주파수 스펙트럼 예측에서 모두 예측 기법의 신뢰성을 확보하였으며, 이를 통해 프로펠러의 형상 설계에 기반이 될 수 있는 기틀을 마련하였다.

키워드
무인항공기
공력 소음
공력 예측
소음 예측
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Information
  • Publisher :The Acoustical Society of Korea
  • Publisher(Ko) :한국음향학회
  • Journal Title :The Journal of the Acoustical Society of Korea
  • Journal Title(Ko) :한국음향학회지
  • Volume : 36
  • No :2
  • Pages :89-99
  • Received Date : 2017-02-17
  • Accepted Date : 2017-03-29
  • DOI :https://doi.org/10.7776/ASK.2017.36.2.089
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