• Title/Summary/Keyword: 무인선 시뮬레이터

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Analysys of results of demonstration test of remote control system for unmanned ships for detecting marine and fishery disasters (해양수산재해 탐지용 무인선의 원격관제 시스템 실증시험 결과 분석)

  • 강은구;한정욱;김선영;박한솔;표춘선;박규린;박재현
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2021.11a
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    • pp.136-138
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    • 2021
  • 본 논문은 경남무인선박 규제자유특구 혁신사업육성 실증 사업의 일환으로 선박해양플랜트연구소(KRISO) 주관으로 수행한 연구 개발 사업의 실증 시험 수행 및 성과에 관련된 내용임. 선박해양플랜트연구소 무인선 아라곤2호와 3호에 적용한 원격관제 시스템의 고도화 및 성능개선 관련 연구개발 수행 중이다.

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Sea Wave Modeling Analysis and Simulation for Shipboard Landing of Tilt Rotor Unmanned Aerial Vehicle (틸트로터 무인기 함상이착륙 위한 파고운동 해석 및 시뮬레이션)

  • Yoo, Chang-Sun;Cho, Am;Park, Bum-Jin;Kang, Young-Shin
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.42 no.9
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    • pp.731-738
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    • 2014
  • The mission of UAV has been expanded from a land to an ocean based on an enhancement of its technologies. Korea Aerospace Research Institute (KARI) also tries to expand the mission of tilt rotor UAV to an ocean, in which the shipboard landing of UAV is required. However the environment of an oceanic operation is severer than that of land due to salty, fogy, and windy condition. The landing point for automatic landing is not fixed due to movement of shipboard in roll, pitch, and heave. It makes the oceanic operation and landing of UAV difficult. In order to conduct an oceanic operation of tilt rotor UAV, this paper presents that the sea wave modeling according to the sea state is conducted and the shipboard landing of tilt rotor UAV under the sea wave is tested and evaluated through the flight simulator for UAV.

Design of an Autonomous Air Combat Guidance Law using a Virtual Pursuit Point for UCAV (무인전투기를 위한 가상 추적점 기반 자율 공중 교전 유도 법칙 설계)

  • You, Dong-Il;Shim, Hyunchul
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.42 no.3
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    • pp.199-212
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    • 2014
  • This paper describes an autonomous air combat guidance law using a Virtual Pursuit Point (VPP) in one-on-one close engagement for Unmanned Combat Aerial Vehicle (UCAV). The VPPs that consist of virtual lag and lead points are introduced to carry out tactical combat maneuvers. The VPPs are generated based on fighter's aerodynamic performance and Basic Fighter Maneuver (BFM)'s turn circle, total energy and weapon characteristics. The UCAV determines a single VPP and executes pursuit maneuvers based on a smoothing function which evaluates probabilities of the pursuit types for switching maneuvers with given combat states. The proposed law is demonstrated by high-fidelity real-time combat simulation using commercial fighter model and X-Plane simulator.