http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Maneuver Algorithm for Bearings-Only Target Tracking with Acceleration and Field of View Constraints
Heekun Roh,Sang-Wook Shim,탁민제 한국항공우주학회 2018 International Journal of Aeronautical and Space Sc Vol.19 No.2
This paper proposes a maneuver algorithm for the agent performing target tracking with bearing angle information only. The goal of the agent is to estimate the target position and velocity based only on the bearing angle data. The methods of bearings-only target state estimation are outlined. The nature of bearings-only target tracking problem is then addressed. Based on the insight from above-mentioned properties, the maneuver algorithm for the agent is suggested. The proposed algorithm is composed of a nonlinear, hysteresis guidance law and the estimation accuracy assessment criteria based on the theory of Cramer–Rao bound. The proposed guidance law generates lateral acceleration command based on current field of viewangle. Theaccuracy criteriasupplytheexpected estimationvariance, whichactsasaterminalcriterionfortheproposed algorithm. The aforementioned algorithm is verified with a two-dimensional simulation.
Maneuver Algorithm for Bearings-Only Target Tracking with Acceleration and Field of View Constraints
Roh, Heekun,Shim, Sang-Wook,Tahk, Min-Jea The Korean Society for Aeronautical Space Sciences 2018 International Journal of Aeronautical and Space Sc Vol.19 No.2
This paper proposes a maneuver algorithm for the agent performing target tracking with bearing angle information only. The goal of the agent is to estimate the target position and velocity based only on the bearing angle data. The methods of bearings-only target state estimation are outlined. The nature of bearings-only target tracking problem is then addressed. Based on the insight from above-mentioned properties, the maneuver algorithm for the agent is suggested. The proposed algorithm is composed of a nonlinear, hysteresis guidance law and the estimation accuracy assessment criteria based on the theory of Cramer-Rao bound. The proposed guidance law generates lateral acceleration command based on current field of view angle. The accuracy criteria supply the expected estimation variance, which acts as a terminal criterion for the proposed algorithm. The aforementioned algorithm is verified with a two-dimensional simulation.
혼합정수선형계획법을 이용한 다수 이종 근접 방어 시스템의 최적 무장 할당
노희건(Heekun Roh),오영재(Young-Jae Oh),탁민제(Min-Jea Tahk),정영란(Young-Ran Jung) 한국항공우주학회 2019 韓國航空宇宙學會誌 Vol.47 No.11
본 논문에서는 다수 이종 근접 방어 시스템(Closed-In Weapon System, CIWS)의 최적 무장 할당문제를 제시하고, 이를 혼합정수선형계획법(Mixed Integer Linear Programming, MILP)으로 변형해 해결하는 기법을 제안한다. 일반적인 무장 할당 문제의 경우 다양한 경우의 수를 고려해야하기 때문에 계산 시간이 기하급수적으로 증가하는 경우가 잦다. 하지만 주어진 문제를 MILP와 같은 혼합 정수 최적화 문제로 변형하면 준실시간 내에 전역 최적해를 찾을 수 있다. 본 논문에서는 다수 위협이 각각 다른 시점에 다른 방향에서 방어 자산을 공격하는 상황을 고려한다. 또한, 제원이 다른 다수 CIWS를 동시 운용하는 경우를 추가로 고려한다. 본 논문에서는 이와 같은 문제 상황을 비선형 혼합정수계획 문제로 정식화하고, 이를 MILP로 변형하는 기법을 제시하였다. 또한, 이를 상용 최적화 프로그램으로 구현해 최적화 성능을 검증하였다. In this paper, a Mixed Integer Linear Programming(MILP) approach for solving optimal Weapon-Target Assignment(WTA) problem of multiple dissimilar Closed-In Weapon Systems (CIWS) is proposed. Generally, WTA problems are formulated in nonlinear mixed integer optimization form, which often requires impractical exhaustive search to optimize. However, transforming the problem into a structured MILP problem enables global optimization with an acceptable computational load. The problem of interest considers defense against several threats approaching the asset from various directions, with different time of arrival. Moreover, we consider multiple dissimilar CIWSs defending the asset. We derive a MILP form of the given nonlinear WTA problem. The formulated MILP problem is implemented with a commercial optimizer, and the optimization result is proposed.