微粒群优化理论在光电载荷安装误差修正中的应用  

Application of Particle Swarm Optimization Algorithm in Fixing Errors Calibration of Photoelectric Payload

作　　者：田子希[1] 黄亮[1] 杨揆[1] 刘忠[1] 张国栋[1] 

机构地区：[1]海军工程大学电子工程学院,武汉430033

出　　处：《舰船电子工程》2011年第11期160-162,168,共4页Ship Electronic Engineering

摘　　要：载荷安装误差是影响空中机动单站光电载荷无源定位精度的主要因素。针对传统解析方法建模复杂、精度不高的问题,采用一种微粒群优化方法对光电载荷安装误差进行修正。仿真分析表明,所采用的微粒群优化方法搜索效率高、搜索效果好,能够实现对安装误差的高精度修正,有望为实际应用提供一种简易可行的方法。Payload fixing errors is the main factor which affects the single air mobility photoelectric payload passive positioning accuracy.Aiming at the problem of traditional analytical methods modeling complex and low precision,using a particle swarm optimization method for payload installed error correction.Simulation analysis results show that the particle swarm optimization method has high search efficiency and good search effective,which can achieve the purpose of high-precision correction of installation errors.This method is expected to provide a simple and feasible method for the practical application.

关 键 词：光电载荷 安装误差修正 微粒群优化算法 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]