• 제목/요약/키워드: Unmanned Aerial Vehicle, UAV

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무인항공기의 통합비행시험을 위한 통합형 지상지원시스템 개발 (Development of Integrated Ground Support System for Integrated Flight Test of Small UAVs)

  • 정재현;임병도;김성수;유창경
    • 한국항공우주학회지
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    • 제40권9호
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    • pp.800-806
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    • 2012
  • 본 논문은 지상지원과 지상관제의 기능을 결합한 무인항공기의 비행시험을 위한 통합형 지상지원시스템(Ground support system)에 대한 설계 및 개발에 관해 기술한다. 통합비행시험은 비행체의 성능을 검증하기 위한 필수적인 절차이다. 개발한 통합형 지상지원시스템은 비행시험에 필요한 인적 물적 자원과 시간을 절감하고 비행시험의 체계적인 준비와 진행을 하기 위한 인프라로써 비행시험의 제반 사항을 갖추어 지상관제, 통신, 발전, 장비의 수송, 수리와 유지 등이 가능하며 소규모 연구소에서 2~3명의 인원으로 운용하기에 적합한 수준이다.

SHELL 모델과 HFACS를 활용한 영국 민간 무인 항공기 사고 요인 특징 분석 (Characteristics Analysis of Accident Factors of UK Civil Unmanned Aircraft Using SHELL Model and HFACS)

  • 김도윤;장조원
    • 한국항공운항학회지
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    • 제32권1호
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    • pp.1-9
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    • 2024
  • The unmanned aerial vehicle industry has developed a lot, but the possibility of accidents is increasing due to potential risks. In this study, SHELL models and HFACS were used to analyze unmanned aerial vehicle accidents in the UK and to identify the main causes and characteristics of accidents. The main cause analyzed by the SHELL model was identified as an abnormality in the alarm system. The main cause of the accident analyzed by HFACS was identified as the technical environment. The common cause identified by the SHELL model and HFACS was identified as a mechanical problem of unmanned aerial vehicles. This is due to the lack of accurate information or functionality of the alarm system in the operator interface, which often prevents the operator from responding to sensitive information. Therefore, in order to prevent civil UAV accidents, the stability and reliability of the system must be secured through regular inspections of the UAV system and continuous software updates. In addition, an ergonomic approach considering human interfaces is needed when developing technologies.

무인항공기용 고분자전해질형 연료전지 시스템의 열교환기 성능 특성 연구 (Experimental Study on the Characteristics of Heat Exchanger of 1 kW PEMFC System for UAV)

  • 강상규;김병준;김한석
    • 한국수소및신에너지학회논문집
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    • 제22권6호
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    • pp.819-826
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    • 2011
  • The proton exchange membrane fuel cell (PEMFC) is regarded as the most promising alternative power sources for unmanned aerial vehicle (UAV) due to its high energy density and silent operation. Since there are many load changes during UAV flight, thermal management is one of the important factor for the performance of PEMFC. In order to reduce the UAV weight for the stable operation of UAV, thermal management system (TMS) studied in this work does not use the fan but use the air flowing into UAV by UAV flight. In order to develop the passive type heat exchanger (HEX) for 1kW PEMFC, four types of HEXs are fabricated and their cooling performances are compared. The parametric study on the cooling performance of HEXs has performed with the variation of operating parameters such as mass flow rates and inlet temperature of air and coolant. Type 4 has the best performance in every case. This study can be helpful to achieve the optimal design of HEX for PEMFC powered UAV.

음성 기반 무인 항공기 제어를 위한 음성인식 시스템 운용 체계 연구 (Study of Speech Recognition System Operation for Voice-driven UAV Control)

  • 박정식
    • 한국항공우주학회지
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    • 제47권3호
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    • pp.212-219
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    • 2019
  • 군사 작전 환경에서 무인 항공기의 활용도가 확대됨에 따라 효율적인 무인기 제어 방식에 대한 연구가 활발하다. 특히 신속한 임무 처리가 요구되는 군 환경에서 기존의 버튼 방식이 지닌 조작의 불편함을 해소하려는 목적으로 음성인식을 통한 무인기 제어 방식이 시도되고 있으며, 아직 초기연구 수준에 머물러 있다. 본 연구에서는 음성 기반의 무인기 제어를 위해 효율적인 음성인식 시스템 운용 체계를 제안한다. 특히 지상관제 센터에 의한 무인기 제어보다는 유/무인기 협업 환경에서 유인기 조종사가 무인기를 직접 통제하는데 효율적인 음성인식 시스템 운용 방식을 제안하며, 음성인식 실험을 통해 운용 체계의 효율성을 검증한다.

고정익 무인항공기(드론)를 이용한 노천광산 지형측량 기술의 현장실증 (On-site Demonstration of Topographic Surveying Techniques at Open-pit Mines using a Fixed-wing Unmanned Aerial Vehicle (Drone))

  • 이성재;최요순
    • 터널과지하공간
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    • 제25권6호
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    • pp.527-533
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    • 2015
  • 본 연구에서는 고정익 무인항공기(드론, SenseFly eBee)를 이용하여 국내 대규모 석회석 노천광산에 대한 지형측량을 수행하였다. 비행고도 300 m, 비행속도 12 m/s 조건으로 약 30분간 자동모드 비행을 수행한 결과 현장에서 총 288장의 항공사진을 촬영할 수 있었다. 특이점 추출이 불가능한 37장의 항공사진을 제외한 251장의 항공사진 자료들을 보정하고, 정합한 결과 7 cm 해상도의 정사영상과 수치표면모델 자료를 생성할 수 있었다. 4곳의 지상기준점에 대하여 고정밀 위성측정시스템를 이용하여 측정한 위치 좌표와 고정익 무인항공기 사진측량시스템을 이용하여 추출한 위치 좌표를 비교한 결과 평균 제곱근 오차가 15 cm 내외로 분석되었다. 고정익 무인항공기는 회전익 무인항공기에 비해 상대적으로 비행시간이 길어 넓은 영역의 신속한 지형측량이 가능하므로 대규모 노천광산 현장에서 효과적으로 활용될 수 있을 것이다.

UAV를 이용한 돔형 원자력 격납건물 외관조사를 위한 3차원 모델기반 비행 좌표 생성 방법 (3-D Model-based UAV Path Generation for Visual Inspection of the Dome-type Nuclear Containment Building)

  • 김봉근
    • 한국BIM학회 논문집
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    • 제6권1호
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    • pp.1-8
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    • 2016
  • This paper provides a method for generating flight path of Unmanned Aerial Vehicle (UAV) that is intended to be used in visual inspection of dome-type nuclear containment building. The method basically employs 3-D model to extract accurate location coordinates. Two basic route patterns that provide guide lines in defining moving locations were defined for each side wall and dome section of the containment. The route patterns support sequential capturing of images as well. In addition, several simple equations and an algorithm for calculation of the moving location on the route were developed on the basis of 3-D geometric characteristics of the containment building. A prototype computer program has been implemented to validate the proposed method, and a case study shows the method can visualize covering area in 3-D model as well.

Control of Small Scale Rotary Wing Unmanned Aerial Vehicle (R-UAV) Using Backstepping.

  • Kannan, Somasundar;Lian, Bao-Hua;Hwang, Tae-Won;Bang, Hyo-Choong
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2005년도 ICCAS
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    • pp.1005-1007
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    • 2005
  • A Nonlinear approach to control of Small Scale Rotary Wing Unmanned Aerial Vehicle (R-UAV) is presented. Using Backstepping, a globally stabilizing control law is derived. We derive backstepping control law for angle of attack and sideslip control. The inherent nonlinear nature of the system are considered here which helps in naturally stabilizing without extensive external effort. Thus, the resulting control law is much simpler than if the feedback linearization had been used.

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무인기를 이용한 심층 신경망 기반 해파리 분포 인식 시스템 (Deep Neural Network-based Jellyfish Distribution Recognition System Using a UAV)

  • 구정모;명현
    • 로봇학회논문지
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    • 제12권4호
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    • pp.432-440
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    • 2017
  • In this paper, we propose a jellyfish distribution recognition and monitoring system using a UAV (unmanned aerial vehicle). The UAV was designed to satisfy the requirements for flight in ocean environment. The target jellyfish, Aurelia aurita, is recognized through convolutional neural network and its distribution is calculated. The modified deep neural network architecture has been developed to have reliable recognition accuracy and fast operation speed. Recognition speed is about 400 times faster than GoogLeNet by using a lightweight network architecture. We also introduce the method for selecting candidates to be used as inputs to the proposed network. The recognition accuracy of the jellyfish is improved by removing the probability value of the meaningless class among the probability vectors of the evaluated input image and re-evaluating it by normalization. The jellyfish distribution is calculated based on the unit jellyfish image recognized. The distribution level is defined by using the novelty concept of the distribution map buffer.

Full composites hydrogen fuel cells unmanned aerial vehicle with telescopic boom

  • Carrera, E.;Verrastro, M.;Boretti, Alberto
    • Advances in aircraft and spacecraft science
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    • 제9권1호
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    • pp.17-37
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    • 2022
  • This paper discusses an improved unmanned aerial vehicle, UAV, configuration characterized by telescopic booms to optimize the flight mechanics and fuel consumption of the aircraft at various loading/flight conditions.The starting point consists of a full-composite smaller UAV which was derived by a general aviation ultralight motorized aircraft ULM. The present design, named ToBoFlex, extends the two-booms configuration to a three tons aircraft. To adapt the design to needs relevant to different applications, new solutions were proposed in aerodynamic fields and materials and structural areas. Different structural solutions were reported. To optimize aircraft endurance, the innovative concept of Telescopic Tail Boom was considered along with two different tails architecture. A new structural configuration of the fuselage was proposed. Further consideration of hydrogen fuel cell electric propulsion is now being studied in collaboration between the Polytechnic of Turin and Prince Mohammad Bin Fahd University which could be the starting point of future investigations.

Automated Analysis of Scaffold Joint Installation Status of UAV-Acquired Images

  • Paik, Sunwoong;Kim, Yohan;Kim, Juhyeon;Kim, Hyoungkwan
    • 국제학술발표논문집
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    • The 9th International Conference on Construction Engineering and Project Management
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    • pp.871-876
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    • 2022
  • In the construction industry, fatal accidents related to scaffolds frequently occur. To prevent such accidents, scaffolds should be carefully monitored for their safety status. However, manual observation of scaffolds is time-consuming and labor-intensive. This paper proposes a method that automatically analyzes the installation status of scaffold joints based on images acquired from a Unmanned Aerial Vehicle (UAV). Using a deep learning-based object detection algorithm (YOLOv5), scaffold joints and joint components are detected. Based on the detection result, a two-stage rule-based classifier is used to analyze the joint installation status. Experimental results show that joints can be classified as safe or unsafe with 98.2 % and 85.7 % F1-scores, respectively. These results indicate that the proposed method can effectively analyze the joint installation status in UAV-acquired scaffold images.

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