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이산 사건 모델링 및 시뮬레이션 기반의 다수 무인기 임무 할당 및 최적화 기법

Multi-UAV Mission Allocation and Optimization Technique Based on Discrete-Event Modeling and Simulation

  • Lee, Dong Ho (Aerospace Technology Research Institute, Agency for Defense Development) ;
  • Jang, Hwanchol (Aerospace Technology Research Institute, Agency for Defense Development) ;
  • Kim, Sang-Hwan (Aerospace Technology Research Institute, Agency for Defense Development) ;
  • Chang, Woohyuk (Aerospace Technology Research Institute, Agency for Defense Development)
  • 투고 : 2019.09.18
  • 심사 : 2020.01.15
  • 발행 : 2020.02.01

초록

본 연구는 복잡한 다수 무인기 시스템을 효율적으로 운용하기 위해 이산 사건 모델 기반의 다수 무인기 이종 임무 할당 기법을 제안한다. 이종 임무의 생성, 임무 할당, 무인기 출동, 임무 수행, 무인기 수리 및 정비에 이르는 무인기의 임무 시작에서 종료까지 일련의 과정을 이산 사건 모델링을 통해 수학적으로 정의하고, 이를 기반으로 주어진 임무 상황에서 필요한 최적 무인기 대수를 도출한다. 도출된 최적 무인기 대수를 적용하여 이산 사건 모델 기반의 반복 시뮬레이션을 통해 그 결과를 검증한다. 제안된 이종 임무 할당 기법으로 운용자는 제한된 무인기 자원을 효율적으로 활용하여 주어진 임무 상황에서 최적의 임무 계획을 수립할 수 있다.

In this paper, we propose a heterogenous mission allocation technique for multi-UAV system based on discrete event modeling. We model a series of heterogenous mission creation, mission allocation, UAV departure, mission completion, and UAV maintenance and repair process as a mathematical discrete event model. Based on the proposed model, we then optimize the number of UAVs required to operate in a given scenario. To validate the optimized number of UAVs, the simulations are executed repeatedly, and their results are analyzed. The proposed mission allocation technique can be used to efficiently utilize limited UAV resources, and allow the human operator to establish an optimal mission plan.

키워드

참고문헌

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