超视距空战中多机协同制导方法

对空空导弹制导权交接的任务分配问题,根据己方飞机与制导权需交接的导弹的态势建立了对导弹的态势优势模型;根据己方飞机对该导弹攻击目标的态势建立了对目标的探测能力模型;根据敌方飞机对己方飞机的态势建立了己方飞机受到的威胁度模型;根据敌我双方飞机的空战能力建立了空战效能优势模型.在这4种模型的基础上建立了己方飞机对导弹的总的制导优势模型.在总的制导优势的基础上建立了协同制导任务分配模型,并采用遗传算法对协同制导任务分配问题进行优化求解.仿真结果表明,该方法能够实时地计算制导优势和进行任务分配,有效地完成多机协同制导.

Cooperative guidance of multi aircraft in beyond-visual-range air combat

To solve the task allocation problem of air-to-air missile guidance power handover, according to the situation of our aircrafts to missiles whose guidance power needs to be turned over, situational advantage model to the missiles was established. Detecting capability model to missiles' targets was established by the situation of our aircrafts to the targets. Threat degree model of enemy aircrafts to our aircrafts was established by the situation of enemy aircrafts to our aircrafts. Air combat effectiveness advantage model was established by the air combat capability of both sides. On the basis of these four models, the whole guidance superiority model of our aircrafts to missiles was established. Cooperative guidance task allocation model was established based on the whole guidance superiority, genetic algorithm was used to optimize and solve the cooperative guidance task allocation problem. The simulation results demonstrate that this method can calculate guidance superiority and do task allocation in real time, and can accomplish multiple cooperative guidance feasibility.