基于粒子群拍卖混合算法的空空导弹制导权移交技术

为解决超视距协同空战中的空空导弹制导权移交问题，首先对空空导弹制导权移交问题进行了数学建模，构建了我机对目标机制导优先权模型以及我机对空空导弹制导优先权模型，建立了空空导弹制导权移交的任务分配模型；其次为实现对大规模空空导弹制导权移交问题的快速寻优求解，提出了一种分布式的粒子群拍卖混合算法，该算法对粒子群算法进行了改进，并融合了拍卖算法的优点，可在较短的时间内获得较为合理的制导权移交方案，具有较好的动态性、全局寻优性能以及易于计算机编程实现等优点。最后，通过仿真实验证明了本方法的合理性和有效性。

The Technique for Air-to-Air Missile Guidance Superiority Handover Based on Particle Swarm Auction Hybrid Algorithm

In order to solve the problem of Air-to-Air Missile(AAM) guidance power handover during the Beyond Visual Rang (BVR) cooperative air combat, the mathematic models composed of the AAM guidance power handover mission assignment model and the guidance superiority models for our aircrafts to target or AAM are firstly built. Secondly, a Particle Swarm Auction Hybrid Algorithm (PSAHA) is proposed for the optimization of large scale AAM guidance superiority handover, this alogrithm has the both good performances of improcved particle swarm algorithm and auction algorithm at the same time, it can get a reasonable guidance superiority handover scheme within short time, and is high dynamics, good global optimization and easy for computer program realization. At last, simulation experiment results show that this method is reasonable and valid.