基于SA-IGSO 的它机协同制导-攻击匹配

陈洁钰; 王勃; 王勋; 胡诗骏

doi:10.15892/j.cnki.djzdxb.2016.01.036

2016 , Vol. 36 >Issue 1: 143 - 148

DOI: https://doi.org/10.15892/j.cnki.djzdxb.2016.01.036

摘要

为增强协同空战战术的灵活性,提高目标攻击的及时性和有效性,重点研究“武器发射平台制导平台—目标”三者之间的优化匹配问题。在分析了它机协同制导攻击流程的基础上,建立相应的协同制导-攻击匹配模型,设计一种模拟退火算法和改进萤火虫算法相结合的混合优化算法对模型进行求解。仿真实验结果表明所设计的算法能在较短时间内求解“武器发射平台制导平台-目标”三者之间的优化匹配问题,且收敛性能较好,优化精度较高。

关键词： 协同制导; 萤火虫算法; 模拟退火算法; 优化匹配

本文引用格式

陈洁钰 , 王勃 , 王勋 , 胡诗骏 . 基于SA-IGSO 的它机协同制导-攻击匹配[J]. 弹箭与制导学报, 2016 , 36(1) : 143 -148 . DOI: 10.15892/j.cnki.djzdxb.2016.01.036

Abstract

In order to improve flexibility of cooperative air combat, the timeliness and availability for target attack, the problem of how to confirm the matching relationship among the "weapon launch platform-guidance platform-target" was studied.On the basis of analysis the cooperative guidance process, a cooperative guidance-attack matching model was proposed for the problem and the hybrid optimization algorithm based on improved glowworm swarm optimization and simulated annealing algorithm was designed to solve the model.The experimental results show that the proposed algorithm can solve the matching and optimization problem among "weapon launch platform-guidance platform-target" in short restraint time and the algorithm has fine convergent and optimized capability.

Key words： cooperative guidance; glowworm swarm optimization algorithm; simulated annealing algorithm; optimization matching

参考文献

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