International Journal of Aeronautical and Space Sciences

  • 제17권2호
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  • Pages.204-213
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  • 2016
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  • 2093-274X(pISSN)
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  • 2093-2480(eISSN)
한국항공우주학회 (The Korean Society for Aeronautical and Space Sciences)
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Differential Game Based Air Combat Maneuver Generation Using Scoring Function Matrix

  • 투고 : 2015.06.18
  • 심사 : 2016.06.19
  • 발행 : 2016.06.30
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초록

A differential game theory based approach is used to develop an automated maneuver generation algorithm for Within Visual Range (WVR) air-to-air combat of unmanned combat aerial vehicles (UCAVs). The algorithm follows hierarchical decisionmaking structure and performs scoring function matrix calculation based on differential game theory to find the optimal maneuvers against dynamic and challenging combat situation. The score, implying how much air superiority the UCAV has, is computed from the predicted relative geometry, relative distance and velocity of two aircrafts. Security strategy is applied at the decision-making step. Additionally, a barrier function is implemented to keep the airplanes above the altitude lower bound. To shorten the simulation time to make the algorithm more real-time, a moving horizon method is implemented. An F-16 pseudo 6-DOF model is used for realistic simulation. The combat maneuver generation algorithm is verified through three dimensional simulations.

키워드

과제정보

연구 과제번호 : A study on UAV Maneuver Generation Algorithm for Air-to-Air Combat

연구 과제 주관 기관 : Agency for Defense Development

참고문헌

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