一种综合优势下的空空导弹接力制导混合优化方法

A Hybrid Optimization Method of Air-to-Air Missile Relay Guidance Based on Integrated Superiority

基于综合制导优势函数提出了一种接力制导的遗传粒子群混合优化方法。通过建立飞机对导弹的优势模型、飞机对目标的态势优势模型、敌方飞机对我方飞机的威胁度模型以及作战飞机效能优势模型四个子模型,给出了作战飞机综合制导优势评估模型。结合接力制导约束条件,建立以综合制导优势最大为目标的空空导弹中制导权移交决策模型,并给出了基于遗传粒子群混合算法的空空导弹接力制导优化方法。最后,对八架飞机接力制导四枚空空导弹的情况进行仿真,验证了该模型及算法的有效性和正确性。

A genetic particle swarm hybrid method for relay guidance is proposed based on the integrated guidance superiority functions. Firstly, an integrated model for evaluating the guidance superiority of the combat aircraft is established by establishing four sub-models: the superiority model of aircraft to missile, the situational superiority model of aircraft to target, the threat model of enemy aircraft to our aircraft, and the efficiency superiority model of combat aircraft. In addition, considering the constraints of relay guidance, we establish a decision-making model for handing over the guidance power of an air-to-air missile with the goal of maximizing the integrated guidance superiority, and the optimization method of the air-to-air missile relay guidance based on the genetic particle swarm hybrid algorithm is given. Finally, we simulate the process of eight aircraft relaying guidance for four air-to-air missiles, and the simulation results verify the validity and correctness of the model and algorithm.