粒子群优化算法在天线罩误差斜率控制中的应用

郑楷; 侯瑞; 刘谊

doi:10.15892/j.cnki.djzdxb.2012.05.013

2012 , Vol. 32 >Issue 5: 175 - 178

DOI: https://doi.org/10.15892/j.cnki.djzdxb.2012.05.013

摘要

为了获得有效的天线罩修磨方案,文中将粒子群优化算法应用到天线罩误差斜率修磨调整技术中。相比传统的方法,该方法减小了试验和数据处理的工作量,提高了工作效率和工作质量。仿真结果表明,该方法可有效地把瞄准误差斜率控制在指标范围之内,且修磨方案的优劣仅与算法的性能有关,对修磨经验要求低,可操作性强。

关键词： 粒子群优化算法; 修磨技术; 瞄准误差斜率; 天线罩

本文引用格式

郑楷 , 侯瑞 , 刘谊 . 粒子群优化算法在天线罩误差斜率控制中的应用[J]. 弹箭与制导学报, 2012 , 32(5) : 175 -178 . DOI: 10.15892/j.cnki.djzdxb.2012.05.013

Abstract

To obtain effective regrinding scheme for radome, the PSO method was used to optimize the scheme of radome-regrinding in the paper. Compared with conventional method, the efficiency and quality are improved with the proposed method, because it avoids complex experiments and date processing. The simulated results show that the boresight error slope (BSS) meets the specified requirements. In addition, the performance of the scheme is only related with the optimization method and is independent of experience, so it can be carried out easily.

Key words： particle swarm optimization; regrinding technique; boresight error slope; radome

参考文献

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