基于改进离散粒子群算法的选星模型  

A Star Selection Model Based on Improved Discrete Particle Swarm Optimization

作　　者：赵猛[1] 张金鑫 韩佳颖[1] 张鹤庆 ZHAO Meng;ZHANG Jinxin;HAN Jiaying;ZHANG Heqing(Maritime College, Tianjin University of Technology, Tianjin 300384, China;School of Electrical and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China)

机构地区：[1]天津理工大学海运学院,天津300384 [2]郑州轻工业学院电气信息工程学院,郑州450002

出　　处：《中国航海》2018年第3期12-15,共4页Navigation of China

基　　金：天津市高等学校科技发展基金计划项目(20130910)

摘　　要：针对现有的天文航海技术存在的不足之处,设计基于离散粒子群的船舶定位选星模型。运用Open GL对索星卡可视化,依据The Nautical Almanac进行后台数据库搭建;根据选星要求建立选星数学模型,通过改进的离散粒子群算法优化模型得出最优的3颗恒星;利用仿真试验来验证该方法的可行性和有效性。仿真结果表明该系统在天文航海中具有一定的使用价值。A model for selecting stars is designed based on discrete Particle Swarm Algorithm（ PSA）. The electronic version of star finder is built with Open GL based on normal star finder and the background database is created according to The Nautical Almanac. The mathematical model for selecting stars is built according to the criteria for navigation,and solved by means of the improved discrete particle swarm optimization. This process picks up 3 best stars for ship positioning. The feasibility and effectiveness of the method is verified through simulation.

关 键 词：索星卡 数据库 选星模型 改进的离散粒子群算法 仿真 

分 类 号：U666.13[交通运输工程—船舶及航道工程] U675.11[交通运输工程—船舶与海洋工程]