• Bulletin of the Korean Space Science Society
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• 2009.10a
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• pp.47.1-47.1
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• 2009

관제시스템 중 임무계획시스템은 위성시스템을 이용한 일련의 임무를 수행하는데 있어, 위성의 상태를 고려하여 임무간 상호 충돌이 없도록 최적의 임무계획을 수립하는 시스템이다. 상용화 촬영임무의 증가로 인해 1일 촬영요청수가 증가한다면 임무간 시간충돌 및 자원에 의한 제한 사항을 검증하는데 많은 시간이 소요되고, 임무계획 작성의 오류 가능성이 증가하게 된다. 이러한 어려움을 해결하기 위해서 임무계획검증시스템이 제안되고 개발되었다. 임무계획검증시스템은 임무계획시스템과 연동되어 운영되도록 설계되었으며, 검증기능 외에도 교신 스케줄 자동생성 기능을 포함하고 있다. 임무계획검증시스템의 주요기능은 임무계획검증, 명령계획검증, 교신스케줄생성 기능을 가지고 있으며, 각 모듈에서 생성된 내용은 공통 데이터베이스로 운영된다.

• Aerospace Engineering and Technology
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• v.12 no.2
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• pp.163-172
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• 2013

Communication Ocean Meteorological Satellite (COMS) has the hybrid mission of meteorological observation, ocean monitoring, and telecommunication service. The COMS is located at $128.2^{\circ}$ East longitude on the geostationary orbit and currently under normal operation service since April 2011. For the sake of the executions of the meteorological and the ocean mission as well as the satellite control and management, the satellite mission planning is daily performed. The satellite mission plans are sent to the satellite by the real-time operation and the satellite executes the missions as per the mission plans. In this paper the mission planning for COMS normal operation is discussed in terms of the ground station configuration and the characteristics of daily, weekly, monthly, and seasonal mission planning activities. The successful mission planning is also confirmed with the first one-year normal operation results.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.30 no.1
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• pp.139-146
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• 2002

This paper describes the devlopment and implementation for the KOMPSAT-1 scheduling & automatic command plan generator(KSCG). Some problems in mission planning and command planning had occurred using the mission & command planning s/w in MAPS(Missin Analysis and Planning Subsystem) during the LEOP(Launch & Early Orbit Phase) & early normal mission phase due to lots of manual input process and non-automatic process. Therefore, the more mission operations for KOMPSAT-1. In order to prevent the development of new one(KSCG) which should reduce the manual process and generate automatically the command plan has been needed. As a result, the mission operations of KOMPSAT-1 has greatly became stable and more effient.

• Proceedings of the Korea Information Processing Society Conference
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• 2015.10a
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• pp.936-939
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• 2015

현재 우리나라의 대표적인 저궤도실용위성 시리즈인 '다목적실용위성'은 K2, K3, K5, K3A(2호, 3호, 5호, 3A호) 이렇게 총 네 가지로 구성되어 있다. 본 논문에서는 한국항공우주연구원에서 운영하는 다목적실용위성 K3인 일상 임무계획(Mission Planning)의 모듈 자동화 시스템 개발에 대한 내용을 다뤘다. 그중에서도, 일상적으로 반복 수행되는 K3 임무계획 업무 중에서 수동 작업을 자동화하기 위해 객체지향 CBD 개발 방법론을 토대로 C#을 이용한 자동화 시스템을 구조화 시키는 방안에 대해 주력하였다. 그 결과로 자동화 개념 정립을 위한 Feasibility Study를 수행할 것이다. 이를 다목적실용위성 K3 임무계획 중 일상적인 임무계획에 한하여 제한적으로 적용할 수 있을 것으로 기대하며, 이는 나아가 본 선행연구 결과물을 이용하여 K3 임무계획 자동화시스템에 적용에 적극 활용될 수 있을 것이다.

• Bulletin of the Korean Space Science Society
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• 2003.10a
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• pp.54-54
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• 2003

위성이 우주 공간에서 통신, 관측 등의 임무를 제대로 수행할 수 있도록 지상에서 원격으로 추적, 제어, 감시 등의 관제가 필요하며, 본 연구에서는 과학 위성 1호 관제 시스템 프로그램에 대하여 살펴본다. 과학 위성 1호 관제 시스템은 한번에 운용할 수 있는 시간이 짧은 특성을 고려한, 통신 신호 처리시스템, 위성 제어 시스템, 위성 임무 계획 시스템으로 구성되었다. 통신 신호 처리 시스템은 위성과 지상국 간의 무성 링크와 신호 처리를 위한 시스템이고, 위성 제어 시스템은 위성의 건강 상태를 감시하고, 위성의 임무 수행을 위한 명령을 송수신하는 시스템이고, 임무 계획 시스템은 사용자의 요구를 실제 위성 운영 계획 또는 탑재체 운용을 계획하는 시스템이다. 위성의 임무는 임무 계획 시스템을 통해서 철저히 분석을 통해서 생성되고, 이렇게 생성된 임무는 위성 제어 시스템에서 제어 명령으로 변환되며, 이러한 제어 명령은 통신 신호 처리 시스템을 거쳐 위성으로 전달된다. 특히, 짧은 운용 시간을 고려하여 과학위성 1호 관제 시스템 프로그램에서는 위성 제어 시스템은 위성의 이상 상태 여부를 신속히 파악하고, 정확하고 신속하게 판단하고 복구할 수 있도록 구현하였다.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.33 no.3
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• pp.71-77
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• 2005

An unmanned aerial vehicle (UAV) is generally flied via a pre-planned flight path or real-time commands by an operator. To succeed in an assigned mission, analysis such as the line-of-sight analysis for communication between UAV and a ground data terminal should be performed. In this paper, various analysis algorithms which are performed by a ground control station in pre-flight and in-flight phases, are proposed for the safe flight of UAV. Note that the proposed algorithms can be applied to most UAV systems.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.47 no.5
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• pp.379-387
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• 2019

The complexity of path planning for visiting multiple mission points is even larger than that of single pair path planning. Deciding a path for visiting n mission points requires conducting $n^2+n$ times of single pair path planning. We propose Multiple Mission $D^*$ Lite($MMD^*L$) which is an optimal path planning algorithm for visiting multiple mission points in dynamic environments. $MMD^*L$ reduces the complexity by reusing the computational data of preceding single pair path planning. Simulation results show that the complexity reduction is significant while its path optimality is not compromised.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.42 no.2
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• pp.181-190
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• 2014

The optimized flight path planning which is appropriate for UAV operation with high performance and multiplex sensors is required for efficient ISR missions. Furthermore, a mission visualization tool is necessary for the assessment of MoE(Measures of Effectiveness) prior to mission operation and the urgent tactical decision in peace time and wartime. A mission visualization and analysis tool was developed by combining STK and MATLAB, whose tool was used for UAV ISR mission analyses in this study. In this mission analysis tool, obstacle avoidance and FoM(Figure of Merit) analysis algorithms were applied to enable the optimized mission planning.

• Journal of Aerospace System Engineering
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• v.17 no.2
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• pp.78-85
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• 2023

For Multi-UAV systems, a task allocation could be a key factor to determine the capability to perform a task. In this paper, we proposed a task allocation method based on genetic algorithm for minimizing makespan and satisfying various constraints. To obtain the optimal solution of the task allocation problem, a huge calculation effort is necessary. Therefore, a genetic algorithm-based method could be an alternative to get the answer. Many types of UAVs, tasks, and constraints in real worlds are introduced and considered when tasks are assigned. The proposed method can build the task sequence of each UAV and calculate waiting time before beginning tasks related to constraints. After initial task allocation with a genetic algorithm, waiting time is added to satisfy constraints. Multiple numerical simulation results validated the performance of this mission planning method with minimized makespan.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.7
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• pp.211-217
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• 2019

In an complicated battlefield environment, information from enemy's camp is an important factor in carrying out military operations. For obtaining this information, the number of UAVs that can be deployed to the mission without our forces' loss and at low cost is increasing. Because the mission environment has anti-aircraft weapons, mission space is needed for UAV to guarantee survivability without being killed. The concept of Configuration Space is used to define the mission space considering with range of weapons and detect range of UAV. UAV must visit whole given area to obtain the information and perform Coverage Path Planning for this. Based on threats to UAV and importance of information that will be obtained, area that UAV should visit first is defined. Grid Map is generated and mapping threat information to each grid for UAV path planning. On this study, coverage conditions and path planning procedures are presented based on the threat information on Grid Map, and mission space is expanded to improve detection efficiency. Finally, simulations are performed, and results are presented using the suggested UAV path planning method in this study.