基于GA-LM融合的星敏感器参数标定算法

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 68.01 5%.The fusion al-gorithm has certain superiority.