基于GA-LM融合的星敏感器参数标定算法  

Parameter calibration of star sensor based on GA-LM fusion algorithm

作　　者：乔兴 王宏力[1] 王永胜[1] 崔祥祥[1] 陆敬辉[1] 

机构地区：[1]第二炮兵工程大学303教研室,陕西西安710025

出　　处：《激光与红外》2014年第11期1224-1229,共6页Laser & Infrared

基　　金：国家自然科学基金(No.60874093)资助

摘　　要：针对传统标定算法精度存在受到初始值影响较大的问题,提出一种基于GA-LM融合的参数标定算法。首先分析了星敏感器系统误差对星点坐标位置的影响,确定各标定参数。接着充分利用了GA算法的全局搜索以及LM算法的局部寻优能力,提出一种融合算法解决了最小二乘算法依赖初值、易陷入局部收敛以及GA算法标定效率低、标定结果差的问题,通过半实物仿真系统实验表明,相比于优化前精度提高了88.099%,相比于传统最小二乘法的精度提高了68.015%,体现出了融合算法较大的优越性。Due to the effect of initial value on the measurement accuracy of tradition calibration algorithm,calibration algorithm of the parameters based on GA-LM fusion is proposed. Firstly, the effect of system error of star sensor on co- ordinate position of star points is analyzed ,then calibration parameters are decided. Secondly ,using the global search ability of GA algorithm and local search ability of LM algorithm, a fusion algorithm is proposed to solve some prob- lems. The results show that：compared with no calibration algorithm, the accuracy of this algorithm is improved by 88.099% ;compared with least squares algorithm, the accuracy of this algorithm is improved by 68.015 %. The fusion al- gorithm has certain superiority.

关 键 词：星敏感器 参数标定 融合算法 

分 类 号：V447[航空宇航科学与技术—飞行器设计]