A*PS-PGA를 이용한 무인 항공기 생존성 극대화 경로 계획

• 영문명: A Path Planning to Maximize Survivability for Unmanned Aerial Vehicle by using A*PS-PGA
• 발행기관: 한국산업경영시스템학회
• 저자명: 김기태(Ki Tae Kim) 전건욱(Geonwook Jeon)
• 간행물 정보: 『산업경영시스템학회지』제34권 제3호, 24~34쪽, 전체 11쪽
• 주제분류: 경제경영 > 경영학
• 파일형태: PDF
• 발행일자: 2011.09.30

영문 초록

An Unmanned Aerial Vehicle (UAV) is a powered pilotless aircraft, which is controlled remotely or autonomously. UAVs are an attractive alternative for many scientific and military organizations. UAVs can perform operations that are considered to be risky or uninhabitable for human. UAVs are currently employed in many military missions such as reconnaissance, surveillance, enemy radar jamming, decoying, suppression of enemy air defense (SEAD), fixed and moving target attack, and air-to-air combat. UAVs also are employed in a number of civilian applications such as monitoring ozone depletion, inclement weather, traffic congestion, and taking images of dangerous territory. For accomplishing the UAV’s missions, guarantee of survivability should be preceded. The main objective of this study is to suggest a mathematical programming model and a A*PS-PGA (A-star with Post Smoothing-Parallel Genetic Algorithm) for an UAV’s path planning to maximize survivability. A mathematical programming model is composed by using MRPP (Most Reliable Path Problem) and TSP (Traveling Salesman Problem). A path planning algorithm for UAV is applied by transforming MRPP into SPP (Shortest Path Problem).

목차

1. 서론

2. 경로 문제 및 기존 연구 고찰

3. 문제 모형화 및 수리모형

4. 경로 계획 알고리즘

5. 실험 및 결과 분석

6. 결론

참고문헌

키워드

Unmanned Aerial Vehicle Path Planning A* Post Smoothing Parallel Genetic Algorithm