摘要
初始对准是惯导系统的关键技术,罗经法对准是实现捷联惯导系统初始对准的重要手段。罗经对准回路的参数选择直接影响对准结果的好坏。对于不同的捷联惯导系统,罗经回路的最优参数也是不同的。传统的方法是根据经验以及大量的反复试验确定罗经对准参数,不能保证对准参数为最优。针对此问题,提出以水平罗经对准回路阻尼振荡周期T_(d1)和航向罗经对准回路阻尼振荡周期T_(d2)为寻优目标,用粒子群算法对参数(T_(d1),T_(d2))进行寻优的方法,以确定出满足条件的最优对准参数,从而提高捷联罗经初始对准的性能。实验结果表明:粒子群算法能够快速、准确地搜索出罗经对准回路的最优参数,提高捷联罗经对准的性能。将粒子群算法应用到捷联罗经初始对准中是有效的。
In traditional gyrocompass-based SINS initial alignment algorithm, the optimal compass parameters are determined through experience and experiments, thus they can not be rapidly and effectively obtained due to involving a lot of trial-and-errors. To solve this problem, an improved SINS initial alignment algorithm, i.e. particle swarm optimization（PSO） algorithm, is proposed, which takes Td1（horizontal-loop damping oscillation period） and Td2（azimuth-loop damping oscillation period） as the optimization objects to achieve the optimal initial alignment performance by intelligently searching out the optimal parameters（Td1, Td2） of the compass alignment circuit. Experimental results show that the PSO algorithm can quickly and accurately search out the optimal parameters of the compass alignment circuit and improve the performance of strapdown gyrocompass initial alignment. The proposed PSO algorithm can be effectively applied into the initial alignment of strapdown gyrocompass.
作者
朱兵
许江宁
何泓洋
郭士荦
ZHU Bing XU Jiang-ning HE Hong-yang GUO Shi-luo(College of Electrical Engineering, Naval University of Engineering, Wuhan 430033, Chin)
出处
《中国惯性技术学报》
EI
CSCD
北大核心
2017年第1期47-51,108,共6页
Journal of Chinese Inertial Technology
基金
国家自然科学基金资助项目(61503404)
国家重大科学仪器开发专项资助项目(2011yq12004502)
航空科学基金资助项目(20150816002)
湖北省自然科学基金资助项目(2015CFC866)
关键词
捷联惯导系统
初始对准
罗经法对准
罗经参数
粒子群算法
strapdown inertial navigation system
initial alignment
compass alignment
compass alignment parameters
particle swarm optimization algorithm
