舰船电子工程2011，Vol.31Issue(11)：160-162,168,4.
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
田子希 1黄亮 1杨揆 1刘忠 1张国栋1
作者信息
- 1. 海军工程大学电子工程学院,武汉430033
- 折叠
摘要
Abstract
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Key words
photoelectric payload/fixing errors calibration/particle swarm optimization algorithm分类
信息技术与安全科学引用本文复制引用
田子希,黄亮,杨揆,刘忠,张国栋..微粒群优化理论在光电载荷安装误差修正中的应用[J].舰船电子工程,2011,31(11):160-162,168,4.
