Implement Multiple Air-Combat Simulation Using Prediction of Optimal Self-Determination Maneuver

• Main Authors: Kun-Feng Hsieh, 謝坤峰
• Other Authors: Ciann-Dong Yang
• Format: Others
• Language: zh-TW
• Published: 2005
• Online Access: http://ndltd.ncl.edu.tw/handle/96094810895371588757

碩士 === 國立成功大學 === 航空太空工程學系碩博士班 === 93 === 　　In this thesis ,we consider multiple air-combat as a whole system. Decision information fusion will be introduced in the air-combat model to overcome the shortage of traditional ideals. This thesis combines the decision and game theory with the practice situation of multiple air-combat to form a simulation model with adjustable weights reflecting different combat scenarios. We combine with new thought of using consulting theory in multiple air to cope with the complex situation during multiple air combat. 　　The optimal strategy of pursuit-evasion game defines four　Kinds of scoring functions according to actual air combat experience and maneuver. The scoring function is composed of contributions consisting of an orientation score, a relative　range score, a velocity score and ａterrain score. In maneuver -selection mode we will compute the entire scoring matrix and select the maneuver corresponding to the max-min score. In order to promote computing efficiency, we use three different scoring time modes. We use the Game theory and Utilitarian solution to solve 2 versus 2 multiple air-combat problem and prove that it can work in 10 versus 10 multiple air-combat simulation. The result reveals that the developed theory can get better result than the traditional ideals.