• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2009.10a
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• pp.798-800
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• 2009

본 논문은 급증하는 항공 교통량을 처리하기 위해 국제민간항공기구(ICAO)를 중심으로 연구되고 있는 차세대 항공관제를 위한 시스템 중 비행자료처리시스템에서 효율적인 비행계획 상태 관리를 위한 방법론을 제안하고 있다. 본 논문에서 제안하는 비행계획 상태 관리는 입력되는 새로운 전문 및 관제사의 입력과 시간 타이머에 의한 이벤트를 구분하는 처리 구조이며, 두 가지를 병렬 처리하는 방식을 이용해서 정확하고 빠른 비행계획 상태 관리를 제공한다. 이는 향후 많은 항공 교통량을 처리하기 위한 차세대 항공관제 시스템에 적용되는 것을 그 목적으로 한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2017.04a
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• pp.904-906
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• 2017

무인항공기(Unmanned Aerial Vehicle, UAV)는 조종사 없이 비행이 가능하고 고성능 카메라를 장착 가능함으로써 최근에는 이용하여 감시 및 정찰 자율화에 다양하게 활용되고 있다. 재난상황과 같은 급박하게 진행되는 상황에서 UAV가 비행하기 위한 그래프 기반 비행경로에서 비행하기 위한 비행경로를 계획하는 방법이 필요하다. 이 논문에서는 그래프 기반 비행경로에서 UAV가 감시 및 정찰을 시작하는 지점으로부터 감시 및 정찰하는 지점을 경유하며 도착지점까지 비행하기 위한 비행경로를 계획하는 방법을 제안한다. 실험에서는 그래프 기반 비행경로에서 조종사가 선택한 감시 및 정찰을 위한 지점을 거쳐가기 위한 비행경로를 계획한 결과를 검증한다.

• Aerospace Industry
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• v.85
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• pp.41-43
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• 2004

아무 계획도 짜지 않은 것은 실패할 계획을 짜는 것이나 마찬가지다. 항공기가 이륙하여, 비행중에 있을지도 모르는 여러가지 돌발상황에도 불구하고 추락하지 않고 목적지까지 안전하게 도착하기 위해서는 세심한 정성으로 비행계획을 짜고 비상시에는 탁월한 순발력으로 대처해야 할 것이다. 그러한 능력과 마음가짐을 갖추고 항공기의 이륙부터 비행, 착륙까지의 전 과정을 꼼꼼히 계획하고 보살피는 사람들 - 운항관리사가 이번 기사의 주제이다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2011.10a
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• pp.691-694
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• 2011

본 논문은 항공관제 시스템을 구성하는 핵심 시스템인 비행자료처리시스템(FDP: Flight Data Processing System)에서 적용되고 있는 비행계획 포스팅 기법을 효율적으로 관리하기 위한 자동 포스팅 메커니즘에 대해 제안하고 있다. 본 논문에서 제안하는 방식은 관제사의 항공기 관제중에 가장 빈번하고도 중요하게 활용되는 정보인 비행계획 포스팅 정보를 FDP에서 처리할 때 자동 포스팅 방식을 적용하여 관제사와 항공관제 시스템과의 연결을 최소화하고 이를 통해 효율적이고 집중적인 관제가 지속될 수 있도록 지원한다. 또한 FDP 시스템에서 포스팅을 관리하기 위한 프로세서를 분리하여 존재시킴으로서, 전자 스트립 뿐만 아니라 종이 스트립까지 지원하는 정책 설계가 가능하며 정책 수정시 반영이 용이하다는 장점이 존재한다.

• The Journal of the Korea institute of electronic communication sciences
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• v.18 no.5
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• pp.981-988
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• 2023

As the usage of unmanned aerial vehicles expands, the development and the demand of related technologies are increasing. As the frequency of operation increases and the convenience of operation is emphasized, the importance of related autonomous flight technology is also highlighted. Establishing a path plan to reach the destination in autonomous flight of an unmanned aerial vehicle is important in guidance and control, and a technology for automatically generating path plan is required in order to maximize the effect of unmanned aerial vehicle. In this study, the optimization research of path planning using rapid-exploring random tree method was performed for increasing the effectiveness of autonomous operation. The path planning optimization method considering the characteristics of the unmanned aerial vehicle is proposed. In order to achieve indexes such as optimal distance, shortest time, and passage of mission points, the path planning was optimized in consideration of the mission goals and dynamic characteristics of the unmanned aerial vehicle. The proposed methods confirmed their applicability to the generation of path planning for unmanned aerial vehicles through performance verification for obstacle situations.

• Journal of Advanced Navigation Technology
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• v.18 no.4
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• pp.268-277
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• 2014

It is very important to correlate flight plan for safe and prompt ATC(air traffic control) operation. In this paper, we design CWP(controller working position) MRT(multi radar tracking) processing module to achieve improvement of overall ATC automation system's performance by minimizing network traffic overload when correlating MRT with flight plan. This implemented module can guarantee efficiency and safety of ATC automation system by applying distributed correlated manner, and reduce network usage by using encoded flight plan correlated MRT data format. We found that this module has 8.54~12.11% lower network usage and 8.37~11.27% higher network traffic fairness than the module using standalone manner.

• Transactions of the KSME C: Technology and Education
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• v.2 no.2
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• pp.113-124
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• 2014

In developing an aircraft, configuration determination and requirement proofing depend on flight test results. Since the flight tests require much time and high cost, systematic flight test planning and analysis are needed to reduce cost and development time. This paper presents a desirability function approach to present an integrative measure of vibration levels at important positions and suggests a fractional factorial design which is one of the experimental design methods to help perform systematic flight tests. A method to perform flight tests in stages is also suggested to further reduce the number of flight tests.

• Journal of the Korea Society for Simulation
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• v.27 no.2
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• pp.101-114
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• 2018

Several different approaches and mechanisms are introduced to solve the UAV path planning problem. In this paper, we designed and implemented an agent-based simulation software using the Repast platform and Java Genetic Algorithm Package to examine an evolutionary path planning method by implementing and testing within the Repast environment. The paper demonstrates the life-cycle of an agent-based simulation software engineering project while providing a documentation strategy that allows specifying autonomous, adaptive, and interactive software entities in a Multi-Agent System. The study demonstrates how evolutionary path planning can be introduced to improve cognitive agent capabilities within an agent-based simulation environment.

• Journal of Aerospace System Engineering
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• v.18 no.2
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• pp.40-46
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• 2024

This study suggests a method to enhance drone flight path planning and safety evaluation in urban areas using Computational Fluid Dynamics (CFD). As the use of drones in urban environments has been growing rapidly, there is a lack of established methods for path planning and safety evaluation, which leads to a risky approach relying on experimental methods. Therefore, this research takes into account the intricate 3D fluid dynamics between drones and buildings by employing CFD to quantitatively plan flight paths and evaluate their safety. To accomplish this, the study focuses on Gimcheon Innovation City as the target area and collects relevant terrain and building data, and selects prospective flight routes. CFD analysis is then carried out to gather essential data for flight simulations and safety assessment. The safety assessments are conducted based on environmental fluid dynamics when the drone operates along the proposed flight paths

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.34 no.1
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• pp.74-80
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• 2006

This paper addresses the trajectory optimization of Unmanned Aerial Vehicles(UAVs) under multiple ground threats like enemy's anti-air radar sites. The power of radar signal reflected by the vehicle and the flight time are considered in the performance cost to be minimized. The bank angle is regarded as control input for a 1st-order lag vehicle, and input parameter optimization method based on Sequential Quadratic Programming (SQP) is used for trajectory optimization. The proposed path planning method provides more practical trajectories with enhanced survivability than those of Voronoi diagram method.