• Title/Summary/Keyword: 소형 무인 항공기

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Privacy Protection from Unmanned Aerial Vehicle (무인항공기 사생활 보호 방안)

  • Lee, Bosung;Lee, Joongyeup;Park, Yujin;Kim, Beomsoo
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.26 no.4
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    • pp.1057-1071
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    • 2016
  • Privacy-right infringement using unmanned aerial vehicle (UAV) usually occurs due to the unregistered small UAV with the image data processing equipment. In this paper we propose that privacy protection acts, Personal Information Protection Act, Information and Communications Network Act, are complemented to consider the mobility of image data processing equipment installed on UAV. Furthermore, we suggest the regulations for classification of small UAVs causing the biggest concern of privacy-right infringement are included in aviation legislations. In addition, technological countermeasures such as recognition of UAV photographing and masking of identifying information photographed by UAV are proposed.

Performance Analysis of an Electric Powered Small Unmanned Aerial Vehicle (전기동력 소형무인항공기의 성능분석)

  • Lee, Chang-Ho;Kim, Seong-Wook;Kim, Dong-Min
    • Proceedings of the Korean Society of Propulsion Engineers Conference
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    • 2010.05a
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    • pp.226-230
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    • 2010
  • In this paper, the performance of an electric powered small Unmanned Aerial Vehicle which has a battery and electric motor is analysed. Aerodynamic data is obtained through flight test and flight performance is predicted. As a result, we present the optimum flight speed for the maximum endurance and predict endurance and range according to the variation of flight speed.

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Development and Flight Test of a Small Solar Powered UAV (소형 태양광 무인항공기의 개발 및 비행시험)

  • Ahn, Il-Young;Bae, Jae-Sung;Park, SangHyuk;Yang, Yong-Man
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.41 no.11
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    • pp.908-914
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    • 2013
  • This study has developed a small solar powered UAV and performed its flight tests. In daylight, a solar powered UAV flies by using some of electricity generated from solar cells, and stores the remainder into battery. At night it flies by using electricity from battery. A solar powered UAV should have aerodynamically efficient configurations, light-weight, strong wing and fuselage. Its electric propulsion system and solar power system should also be very efficient. In the present study the solar powered UAV and its solar power system are developed for 12 hour continuous flight and the flight tests are performed to verify its performance. The flight tests performed in fall and winter to prove the present solar powered UAV is successful in four-season 12 hour flight.

A Study on Automatic Precision Landing for Small UAV's Industrial Application (소형 UAV의 산업 응용을 위한 자동 정밀 착륙에 관한 연구)

  • Kim, Jong-Woo;Ha, Seok-Wun;Moon, Yong-Ho
    • Journal of Convergence for Information Technology
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    • v.7 no.3
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    • pp.27-36
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    • 2017
  • In almost industries, such as the logistics industry, marine fisheries, agriculture, industry, and services, small unmanned aerial vehicles are used for aerial photographing or closing flight in areas where human access is difficult or CCTV is not installed. Also, based on the information of small unmanned aerial photographing, application research is actively carried out to efficiently perform surveillance, control, or management. In order to carry out tasks in a mission-based manner in which the set tasks are assigned and the tasks are automatically performed, the small unmanned aerial vehicles must not only fly steadily but also be able to charge the energy periodically, In addition, the unmanned aircraft need to land automatically and precisely at certain points after the end of the mission. In order to accomplish this, an automatic precision landing method that leads landing by continuously detecting and recognizing a marker located at a landing point from a video shot of a small UAV is required. In this paper, it is shown that accurate and stable automatic landing is possible even if simple template matching technique is applied without using various recognition methods that require high specification in using low cost general purpose small unmanned aerial vehicle. Through simulation and actual experiments, the results show that the proposed method will be made good use of industrial fields.

Method to Extract Coastline Changes Using Unmanned Aerial Vehicle (무인항공기를 이용한 해안선 변화 추출에 관한 연구)

  • Lee, Kangsan;Choi, Jinmu;Joh, Chang-Hyeon
    • Journal of the Korean Geographical Society
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    • v.50 no.5
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    • pp.473-483
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    • 2015
  • In a coastal area, a plenty of research has adopted remotely sensed data. This is because longterm interaction between land and ocean makes continuous geographical changes in a broad extent and unaccessible areas. However, conventional remote sensing platforms such as satellite or airplane has several disadvantages including limited temporal resolution and high operational costs. Hence, this study uses a UAV system to detect a coastline and its movement. Result of coastline detection shows how the coastline moves in a day. Time-series coastlines were derived from UAV aerial images through digital image processing. There is a drawback in the stability of UAV compared to the conventional remote sensing platform, but the advantage appears on the economical efficiency. Since the latest studies shows an improvement of UAV for a variety of purposes in many fields, a UAV can also be utilized for regional study and spatial data acquisition platform. geography can also utilize a UAV as a spatial data acquisition platform for regional study.

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A Comparison of Control Methods for Small UAV Considering Ice Accumulation and Uncertainty (결빙 현상과 불확실성을 고려한 소형 무인항공기 제어기법 비교 연구)

  • Hyodeuk An;Jungho Moon
    • Journal of Aerospace System Engineering
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    • v.17 no.5
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    • pp.34-41
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    • 2023
  • This paper applies the icing effect and wing rock uncertainty to small unmanned aerial vehicles (UAVs), which have recently attracted attention. Attitude control simulations were performed using various control methods. First, the selected platform, the Skywalker X8 UAV with blended wing-body (BWB) configuration, was linearized for both its baseline form, and a form with applied icing effects. Subsequently, using MATLAB SimulinkⓇ, simulations were conducted for roll and pitch attitude control of the baseline configuration and the configuration with icing effects, employing disturbance observer-based PID control, model reference adaptive control, and model predictive control. Furthermore, the study introduced wing rock uncertainty simultaneously with icing effects on the configured model-a combination not previously explored in existing research-and conducted simulations. The performance of each control Method was compared and analyzed.

무선인터넷 기반의 소형무인선 개발

  • Kim, Hyo-Il;Jeon, Seung-Hwan
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2011.11a
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    • pp.1-2
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    • 2011
  • 최근 많은 분야에 무인시스템이 도입되고 있다. 초기에는 산업분야에서 인간이 하기 힘들거나 위험한 작업을 대신하는 단순 반복적인 자동화기술이 대부분이었으나, 최근에는 전자통신 기술발달에 힘입어 무인자동차, 무인항공기, 무인잠수정, 무인선박 등이 연구 개발되고 있다. 본연구에서는 자율형 소형무인선을 개발하고자 하였으며, 이와 관련하여 인터넷기반의 무선통신제어, 동력 추진 조타 냉각시스템, GPS 영상 헤딩센서 등 센싱시스템, 자율운항을 위한 제어기설계, GUI 등을 연구하였다. 아울러, 해상실험을 통해 유효성을 검증하였다.

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해상작전용 무인항공기

  • Yu, Jae-Il
    • Defense and Technology
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    • no.2 s.240
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    • pp.78-87
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    • 1999
  • 해상 무인항공기 연구개발은 여러 요소들에 의해 대단히 중요시되고 있는데 그 요소들을 보면 연안 해상 작전에 대한 중요성이 증대되고, 전 세계적으로 많은 국가들의 해군 세력이 중무장한 공격용 소형의 신형 코르벳함들로 등장하고 있으며, 함상탑재용 유인기의 비용이 지나치게 비싸다는 것과 대잠수함전(ASW)에서는 유인기가 매우 중요한 역할을 수행하는 점 때문일 것이다

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System Identification of a Small Unmanned Air Vehicle Using Neural Networks (신경회로망을 이용한 소형 무인항공기 시스템 식별)

  • Song, Yong-Kyu;Jeon, Byung-Ho
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.35 no.10
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    • pp.912-917
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    • 2007
  • In this paper system identification of a small UAV via neural networks is tried and the estimated parameters are then compared to those obtained by Fourier Transform Regression and Maximum Likelihood Estimation Techniques. With the estimated parameters a linear system is constructed and simulated to compare to the flight data. The results show that parameter identification using neural networks is comparable to the existing techniques