• Title/Summary/Keyword: 소형 무인 항공기

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Development of Comprehensive performance test equipment to confirm the performance of small radar systems (소형 추적 레이다 시스템 성능확인을 위한 종합성능시험 장비 개발)

  • Hong-Rak Kim;Youn-Jin Kim;Seong-Ho Park;Man Hee LEE;Da-Been LEE
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.23 no.2
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    • pp.139-147
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    • 2023
  • The compact tracking radar system is a pulsed radar tracking system that searches, detects, and tracks targets in real time against aircraft targets with a small RCS(Radar Cross Section) maneuvering at high speed. This paper describes the development of comprehensive performance test equipment to verify the performance of the radar system in a anechoic chamber environment. Describes the design and manufacture of comprehensive performance test equipment to meet requirements, including the generation of simulated target signals to simulate aircraft target signals to verify performance in the laboratory environment of radar systems. It also describes a GUI(Graphic User Interface) program to check performance through a test in conjunction with the tracking radar system. Verify the comprehensive performance test equipment implemented through the performance test.

Construction of Precise Digital Terrain Model for Nonmetal Open-pit Mine by Using Unmanned Aerial Photograph (무인항공 사진촬영을 통한 비금속 노천광산 정밀 수치지형모델 구축)

  • Cho, Seong-Jun;Bang, Eun-Seok;Kang, Il-Mo
    • Economic and Environmental Geology
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    • v.48 no.3
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    • pp.205-212
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    • 2015
  • We have verified applicability of UAV(Unmanned Aerial Vehicle) photogrammetry to a mining engineering. The test mine is a smectite mine located at Gyeongju city in Gyeongnam province, Koera. 448 photos over area of $600m{\times}380m$ were taken with overlapped manner using Cannon Mark VI equipped to multicopter DJI S1000, which were processed with AgiSoft Photoscan software to generate orthophoto and DEM model of the study area. photogrammetry data with 10 cm resolution were generated using 6 ground control positions, which were exported to the 3D geological modeling software to make a topographic surface object. Monitoring of amount of ore production and landsliding could be done with less than 1 hours photographing as well as low cost. A direct link between UAV photogrammetry and 3D geological modeling technology might increase productivity of a mine due to appling the topographical surface change immediately according to the mining operation.

Calibration and Flight Test Results of Air Data Sensing System using Flush Pressure Ports (플러시 압력공을 사용한 대기자료 측정장치의 교정 및 비행시험 결과)

  • Lee, Chang-Ho;Park, Young-Min;Chang, Byeong-Hee;Lee, Yung-Gyo
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.45 no.7
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    • pp.531-538
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    • 2017
  • A flush air data sensing system, which can predict flight speed, angle of attack, and angle of sideslip of the aircraft is designed and manufactured for a small UAV. Two kinds of flush pressure ports, four ports and five ports, are tapped at the same section of fuselage nose-cone. Calibration pressure data at flush ports are obtained through computations for the total aircraft by using Fluent code. Angle of attack, angle of sideslip, total pressure, and static pressure are represented with 4th-order polynomial function and calibration coefficient matrix is obtained using least square method with calibration pressure data. Flight test showed that flight speed, angle of attack, and sideslip angle predicted by four flush ports and five flush ports compared well with those by five-hole probe installed for data comparison. Especially four flush ports revealed nearly same results as those by five flush ports.

Power Charge Scheduling and Charge-Ready Battery Allocation Algorithms for Real-Time Drones Services (실시간 드론 서비스를 위한 전원 충전 스케쥴링과 충전 배터리 할당 알고리즘)

  • Tajrian, Mehedi;Kim, Jai-Hoon
    • KIPS Transactions on Computer and Communication Systems
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    • v.8 no.12
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    • pp.277-286
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    • 2019
  • The Unmanned Aerial Vehicle (UAV) is one of the most precious inventions of Internet of things (IOT). UAV faces the necessity to charge battery or replace battery from the charging stations during or between services. We propose scheduling algorithms for drone power charging (SADPC). The basic idea of algorithm is considering both a deadline (for increasing deadline miss ratio) and a charging time (for decreasing waiting time) to decide priority on charging station among drones. Our simulation results show that our power charging algorithm for drones are efficient in terms of the deadline miss ratio as well as the waiting time in general in compare to other conventional algorithms (EDF or SJF). Also, we can choose proper algorithms for battery charge scheduling and charge ready battery allocation according to system parameters and user requirements based on our simulation.

A Study of Certification of Lightning Indirect Effects on Cable Harness in Personal Air Vehicles (PAV 케이블 하네스에 대한 낙뢰 간접 영향성 인증 기법에 관한 연구)

  • Jo, Jae-Hyeon;Kim, Yun-Gon;Park, Se-Woong;Myong, Rho-Shin
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.49 no.3
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    • pp.251-262
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    • 2021
  • The airworthiness certification of lightning indirect effects becomes an important issue in personal air vehicles (PAVs), which are being actively developed around the world. PAVs are very vulnerable to lightning strikes, because of miniaturization, use of the electric engines, composite materials, and application of unmanned navigation systems. In this study, we first examined various steps of certifications for lightning indirect effects shown in AC 20 136B issued by the Federal Aviation Administration (FAA). We then applied certification guidelines for equipment transient design level listed in RTCA DO 160G Section 22 to PAVs and investigated lightning transient environments inside the PAVs. We also analyzed the aircraft level tests specified in SAE ARP 5416A by using electromagnetic computational analysis software EMA3D. Finally, we analyzed the actual transient level for PAVs and derived the data necessary for conformity certification.

Study on Flight Test of Small Solar-Powered UAV (소형 태양광 무인 항공기의 비행실험에 관한 연구)

  • An, Il-Young;Bae, Jae-Sung;Park, Sang-Hyuk
    • 한국태양에너지학회:학술대회논문집
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    • 2012.03a
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    • pp.313-318
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    • 2012
  • In the present study, the preliminary study on a small solar-powered RC airplane are performed for the development of a long-endurance solar-powered UAV. Solar energy enables the solar-powered UAV to fly longer or eternally. The solar-powered UAV transfers the solar energy to electric energy and this energy is used for the flight and the battery charge. To increase the flying time, the efficiency of the solar-cell power system must be increased and the required power for flight must be minimized. Hence, the system integration including solar cell and controller, the power system design, and the aerodynamic and structural designs of the UAV is very important. The present study have performed the design, manufacture, and flight test of the small solar-powered UAV for the preliminary study of the long-endurance solar-powered UAV. From this study, the system integration technology of the solar-powered UAV design is established, and the possibility and the issue points for the development of the long-endurance solar-powered UAV are discussed.

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Neural Network-based FMCW Radar System for Detecting a Drone (소형 무인 항공기 탐지를 위한 인공 신경망 기반 FMCW 레이다 시스템)

  • Jang, Myeongjae;Kim, Soontae
    • IEMEK Journal of Embedded Systems and Applications
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    • v.13 no.6
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    • pp.289-296
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    • 2018
  • Drone detection in FMCW radar system needs complex techniques because a drone beat frequency is highly dynamic and unpredictable. Therefore, the current static signal processing algorithms cannot show appropriate detection accuracy. With dynamic signal fluctuation and environmental clutters, it can fail to detect a drone or make false detection. It affects to the radar system integrity and safety. Constant false alarm rate (CFAR), one of famous static signal process algorithm is effective for static environment. But for drone detection, it shows low detection accuracy. In this paper, we suggest neural network based FMCW radar system for detecting a drone. We use recurrent neural network (RNN) because it is the effective neural network for signal processing. In our FMCW radar system, one transmitter emits FMCW signal and four-way fixed receivers detect reflected drone beat frequency. The coordinate of the drone can be calculated with four receivers information by triangulation. Therefore, RNN only learns and inferences reflected drone beat frequency. It helps higher learning and detection accuracy. With several drone flight experiments, RNN shows false detection rate and detection accuracy as 21.1% and 96.4%, respectively.

Fuel cell system for SUAV using chemical hydride - I. Lightweight hydrogen generation and control system (화학수소화합물을 이용한 소형 무인항공기용 연료전지 시스템 연구 - I. 경량 수소 발생 및 제어 장치)

  • Hong, Ji-Seok;Jung, Won-Chul;Kim, Hyeon-Jin;Lee, Min-Jae;Jeong, Dae-Seong;Jeon, Chang-Soo;Sung, Hong-Gye;Shin, Seock-Jae;Nam, Suk-Woo
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.41 no.3
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    • pp.226-232
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    • 2013
  • A compact hydrogen generation device of fuel cell system using chemical hydride storage technique was designed to fit the propulsion device requirement of a small unmanned aerial vehicle(SUAV). For high efficient, compact, and lightweight hydrogen generation control device, the Co-B catalyst hydrogen conversion rate by $NaBH_4$ aqueous solution flux is measured so that the proper amount of Co-B catalyst for maximum hydrogen generation of 100W stack was proposed. A compact hydrogen generation device is controlled by pump's on/off using its own internal pressure and consumes fuel in high efficiency through a dead-end type fuel cell. The fuel cell system has stable operation for a planed flight profile. The system operates up to maximum 7 hours and at least 4 hours for tough flight profiles.

CFD-based Thrust Analysis of Unmanned Aerial Vehicle in Hover Mode: Effects of Single Rotor Blade Shape (무인비행체 블레이드 형상 변화에 따른 단일로터의 제자리 비행 추력성능 분석)

  • Yun, Jae Hyun;Choi, Ha-Young;Lee, Jongsoo
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.38 no.5
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    • pp.513-520
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    • 2014
  • An unmanned aerial vehicle (UAV) should be designed to be as small and lightweight as possible to optimize the efficiency of changing the blade shape to enhance the aerodynamic performance, such as the thrust and power. In this study, a computational fluid dynamics (CFD) simulation of an unmanned multi-rotor aerial vehicle in hover mode was performed to explore the thrust performance in terms of the blade rotational speed and blade shape parameters (i.e., taper ratio and twist angle). The commercial ADINA-CFD program was used to generate the CFD data, and the results were compared with those obtained from blade element theory (BET). The results showed that changes in the blade shape clearly affect the aerodynamic thrust of a UAV rotor blade.

Aerodynamic Design and Performance Prediction of Highly-Loaded 1 Stage Axial Compressor (고부하 1단 축류형 압축기 공력 설계 및 성능 예측)

  • Kang, Young-Seok;Park, Tae-Choon;Yang, Soo-Seok
    • Proceedings of the Korean Society of Propulsion Engineers Conference
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    • 2010.11a
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    • pp.101-104
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    • 2010
  • Recently, needs for UAVs and small aircraft and small turbo jet or turbo fan engines for these air-crafts are increasing. Size and weight are the two main restrictions in small air-crafts such as UAV or VLJ propulsion system applications. Therefore, high power density is required in small size and designers come up with unconventional solutions in the design of small aero gas turbine engines. One of the solutions is the usage of highly loaded axial compressors. This paper introduces an aerodynamic design method of a highly loaded axial compressor and its review process. Numerical simulation has been carried out to assess the aerodynamic performance of the compressor.

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