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人在环路的空战仿真训练系统中,智能对手飞机需要根据当前系统中的态势进行实时规划,快速构成有利的攻击态势,体现出智能对手飞机的“聪明”性,飞行员通过和“聪明”的对手进行对抗训练,可以提升自己的战术素养,以当前态势中对敌方的探测概率为代价函数,采用改进型A*算法,探索智能对手飞机的下一步航向角和俯仰角的变化,得到智能对手的下1个仿真步长的位置和姿态。通过1组实际的飞行数据为样本数据,验证了该方法的可行性,算法效率高,能够满足实时性较强的空战仿真需求。
People in the loop air combat simulation training system, the smart opponent aircraft need real-time planning based on the current situation in the system, quickly forming a favorable attack situation, reflecting the “smart” nature of the rival aircraft, the pilot through and “ Smart ”opponents training against confrontation, can enhance their tactical accomplishments, the current situation in the probability of detection of the enemy as a cost function, the use of improved A * algorithm to explore the smart next opponent aircraft heading and pitch angle Change, get the position and attitude of the next adversary’s simulation step. Through a set of actual flight data for the sample data, the feasibility of the method is verified, the algorithm is efficient and can meet the requirements of real-time air combat simulation.