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항공기 날개 형상 최적화를 위한 distributed design의 적용
김태희(TaeHee Kim),최성임(Seongim Choi) 한국전산유체공학회 2013 한국전산유체공학회 학술대회논문집 Vol.2013 No.5
Aircraft design is very difficult because aircraft is composed of many subsystems which are highly coupled. Therefore, aircraft design with decoupled analysis at subsystems is meaningless and it is important to perform an integrated analysis. Designers revise existing design methods or find a new design method for satisfying the complex design requirement, one of them is a Multidisciplinary Design Optimization(MDO) which is methodology that tries to slove those issues and many study is performed recently. A distributed design divides the aircraft system into system and subspace levels and distributes independent role to each discipline. Collaborative Optimization(CO) and Concurrent Sub-Space Optimization(CSSO) are kinds of distributed design which have different formulations and different characteristics. CSSO carries out system analysis and solves a series of sensitivity equations. Also CSSO contains concept of responsible coefficient and trade-off coefficient. In contrast, CO doesn’t has system analysis and sensitivity equation and uses concept of auxiliary variables and compatibility condition. In current study, we compare Collaborative Optimization(CO) and Concurrent Sub-Space Optimization(CSSO) methods about their advantages and weaknesses through their application to aircraft wing shape design problem.
최적화 기법 기반의 항공기 스케줄러 개발 및 실제 공항의 수치적 모사
유민석(MinSeok Ryu),송재훈(Jae-Hoon Song),최성임(Seongim Choi) 한국항공우주학회 2013 韓國航空宇宙學會誌 Vol.41 No.9
불가피하게 급증하는 항공기 수요량에 따른 여러 가지 문제들을 해결하는 방안으로 항공기의 지연시간을 줄여, 공항의 수용력을 극대화하는 항공교통관리가 주목받고 있다. 본 논문은 공항주변 항공교통흐름을 원활히 하여 항공기 처리량을 최대화하는 항공기 스케줄링의 최적화를 목적으로 한다. 본 연구에서 개발한 스케줄링 기법은 스케줄링 문제를 수학적으로 모델링한 후, 혼합정수선형계획법과 유전자 알고리즘을 도입하여 항공기 지연시간을 최소로 하는 최적의 스케줄링을 제공한다. 최적화된 스케줄링과 실제 인천 공항에서의 항공기 스케줄링과 비교해 보았고, 그 결과 최적화된 스케줄링이 제공하는 항공기 처리량이 현재 인천 공항에서 처리하는 항공기보다 현저히 높다는 결과를 확인할 수 있었다. 본 연구에서 개발한 스케줄러는 향후 항공기의 포화 상태를 적절하게 대처하는데 큰 도움을 줄 것이라 예상되어진다. Several problems caused by inevitable increment of airplane have been issued. The most effective solution to solve the issues is considered as establishing appropriate Air Traffic Management (ATM) that reduces aircraft’s delay at an airport and intensify the airport’s capacity. The purpose of this paper is to produce the optimum aircraft schedules that maximize the aircraft throughput by smooth air traffic flow near terminal area of an airport In this paper, mathematical formulations of the scheduling problem are firstly specified. Based on the mathematical modelling, an Optimization-Based Flight Scheduler that provides the optimum flight schedules for arriving aircraft is developed by introducing the Mixed Integer Linear Programming(MILP) and the Genetic Algorithms(GA). With this scheduler, we calculated the optimum schedules to compare to real schedule data from an Incheon Airport. As a result, it is validated that aircraft throughput produced by the optimum schedule is much better than that of the schedule from the Incheon airport. The optimization-based flight scheduler is expected to deal with problems due to the aircraft saturation in near future.