• Title/Summary/Keyword: 자동 정밀 착륙

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Automatic Landing Flight Test of TR-60 Tilt Rotor UAV based on RTK GPS (RTK GPS 기반 TR-60 틸트로터무인기 자동착륙 비행시험)

  • Yu, Chang-Seon;Jang, Eun-Yeong;Song, Bok-Seop;Jo, Am;Park, Beom-Jin;Kim, Yu-Sin;Gang, Yeong-Sin;Choe, Seong-Uk;Gu, Sam-Ok
    • 한국항공운항학회:학술대회논문집
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    • 2016.05a
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    • pp.30-34
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    • 2016
  • TR-60 틸트로터 무인기는 전장 3m, 최대이륙중량 200kg로서 2013년 2월 자동천이비행에 성공한 비행체로서 현재 해상운용을 위한 함상이착륙기술을 개발 중에 있다. 무인기 해상운용은 육상보다 심한 염무와 바람과 선박의 운동에 의한 착륙대의 이동 등의 열악한 환경에서 이루어져야 한다. 이동이 있는 착륙대와 착륙장 주변의 장애물을 고려하면 정확한 착륙을 위한 정밀한 항법유도가 요구된다. TR-60의 정밀항법유도를 위해서 수cm 단위의 정확도를 갖는 RTK GPS 기반의 정밀상대항법과 이동 착륙장 대한 자동착륙유도를 설계하고 구현함으로 함상자동 이착륙 기술을 개발하였다. 본 논문에서는 RTK GPS 기반의 정밀상대항법과 자동착륙유도에 대한 연구와 함상접근착륙절차에 따른 자동착륙정확도 측정 비행시험 결과를 기술하였다.

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항공기 자동 착륙방식에 대한 비교

  • Yun, Seok-Jun
    • The Journal of Aerospace Industry
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    • s.65
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    • pp.89-106
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    • 2003
  • 항공기의 자동 착륙 알고리즘을 위한 고 정밀 유도방식에 IBLS(Integrity Beacons Landing System)나 MLS(Microwave Landing System)와 같은 유도 제어 방식을 사용하여 유인 항공기나 무인 항공기의 유도 착륙에 사용하고 있다. 당 연구에서는 무인항공기의 자동 착륙을 위한 실제적인 요구사항들이 분석되었고, 자동 착륙 유도장치로 IBLS와 MLS가 선택되어 각각의 기능과 특성들이 수학적으로 모델링 되었다. 또한 고전제어와 최적제어의 2가지 방식으로 무인항공기의 자동 착륙을 통제하기 위한 autopilot이 설계되어 그 유효성과 특징들이 분석되었다. IBLS, MLS, autopilot, 그리고 이러한 자동 착륙 유도제어 시스템이 적용되는 대상체인 무인항공기와 대기환경 및 외란에 대한 수학적 모델들은 Simulink와 ANSI C를 사용하여 단위 S/W 모듈들로 작성되었고, 여기에 GUI모듈이 추가되어 하나의 통합 시뮬레이션 S/W가 완성되었다. 모의시험평가는 총 2단계로 구성되었는데, 대기 외란이 주어졌을 때 IBLS와 MLS의 유효성을 1차적으로 검증하였고, 2단계 모의수치실험에서는 MLS 유도센서 방식에 따른 고전제어기 및 최적제어기의 항공기 종 방향 운동에 대한 강인성 비교를 시도하였다.

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Vision-based Obstacle State Estimation and Collision Prediction using LSM and CPA for UAV Autonomous Landing (무인항공기의 자동 착륙을 위한 LSM 및 CPA를 활용한 영상 기반 장애물 상태 추정 및 충돌 예측)

  • Seongbong Lee;Cheonman Park;Hyeji Kim;Dongjin Lee
    • Journal of Advanced Navigation Technology
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    • v.25 no.6
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    • pp.485-492
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    • 2021
  • Vision-based autonomous precision landing technology for UAVs requires precise position estimation and landing guidance technology. Also, for safe landing, it must be designed to determine the safety of the landing point against ground obstacles and to guide the landing only when the safety is ensured. In this paper, we proposes vision-based navigation, and algorithms for determining the safety of landing point to perform autonomous precision landings. To perform vision-based navigation, CNN technology is used to detect landing pad and the detection information is used to derive an integrated navigation solution. In addition, design and apply Kalman filters to improve position estimation performance. In order to determine the safety of the landing point, we perform the obstacle detection and position estimation in the same manner, and estimate the speed of the obstacle using LSM. The collision or not with the obstacle is determined based on the CPA calculated by using the estimated state of the obstacle. Finally, we perform flight test to verify the proposed algorithm.

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.

Homing Guidance Law and Spiral Descending Path Design for UAV Automatic Landing (무인항공기 자동착륙을 위한 나선형 강하궤적 및 종말유도 설계)

  • Yoon, Seung-Ho;Kim, H.-Jin;Kim, You-Dan
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.38 no.3
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    • pp.207-212
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    • 2010
  • This paper presents a spiral descending path and a landing guidance law for net-recovery of a fixed-wing unmanned aerial vehicle. The net-recovery landing flight is divided into two phases. In the first phase, a spiral descending path is designed from an arbitrary initial position to a final approaching waypoint toward the recovery net. The flight path angle is controlled to be aligned to the approaching direction at the end of the spiral descent. In the second phase, the aircraft is guided from the approaching waypoint to the recovery net using a pseudo pursuit landing guidance law. Six degree-of-freedom simulation is performed to verify the performance of the proposed landing guidance law.

Design and Fabrication of Multi-rotor system for Vision based Autonomous Landing (영상 기반 자동 착륙용 멀티로터 시스템 설계 및 개발)

  • Kim, Gyou-Beom;Song, Seung-Hwa;Yoon, Kwang-Joon
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.12 no.6
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    • pp.141-146
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    • 2012
  • This paper introduces development of multi-rotor system and vision based autonomous landing system. Multi-rotor platform is modeled by rigid body motion with Newton Euler concept. Also Multi-rotor platform is simulated and tuned by LQR control algorithm. Vision based Autonomous Landing system uses a single camera that is mounted Multi-rotor system. Augmented reality algorithm is used as marker detection algorithm and autonomous landing code is test with GCS for the precision landing.

Application of GNSS Non-Precision and Precision Approaches to a Circle-to-Land Approach Airport (선회착륙공항에서의 GNSS 비정밀접근 및 정밀접근 적용 연구)

  • Kim, Y.M.;Kang, J.Y.
    • Journal of the Korean Society for Aviation and Aeronautics
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    • v.12 no.3
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    • pp.65-85
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    • 2004
  • Circling to land is a relatively dangerous maneuver. It contains the worst elements of IFR flight. There is a minimum obstruction clearance, a limited space in which to maneuver, an absence of visual reference, and trying to keep the runway in sight while preparing to land. At night it is quite a bit more than dangerous. The required continuous turn in marginal conditions that keeps the airport in sight is hazardous. Therefore, this paper proposes an application of GNSS to circling approach to reduce or remove chances of accidents which may occur under such unfavorable flight conditions. The study reviews relevant documents published by ICAO and FAA and provides scenarios for non-precision and precision approaches and circling approach based on the GNSS for Kimhae airport. Also requirements for the ground facility design are studied and provided.

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Vision Processing for Precision Autonomous Landing Approach of an Unmanned Helicopter (무인헬기의 정밀 자동착륙 접근을 위한 영상정보 처리)

  • Kim, Deok-Ryeol;Kim, Do-Myoung;Suk, Jin-Young
    • Journal of Institute of Control, Robotics and Systems
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    • v.15 no.1
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    • pp.54-60
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    • 2009
  • In this paper, a precision landing approach is implemented based on real-time image processing. A full-scale landmark for automatic landing is used. canny edge detection method is applied to identify the outside quadrilateral while circular hough transform is used for the recognition of inside circle. Position information on the ground landmark is uplinked to the unmanned helicopter via ground control computer in real time so that the unmanned helicopter control the air vehicle for accurate landing approach. Ground test and a couple of flight tests for autonomous landing approach show that the image processing and automatic landing operation system have good performance for the landing approach phase at the altitude of $20m{\sim}1m$ above ground level.