张尧, 王宏力, 陆敬辉, 何贻洋, 姜伟. 基于粒子群算法的星敏感器光学误差标定方法[J]. 红外与激光工程, 2017, 46(10): 1017002-1017002(8). DOI: 10.3788/IRLA201770.1017002
引用本文: 张尧, 王宏力, 陆敬辉, 何贻洋, 姜伟. 基于粒子群算法的星敏感器光学误差标定方法[J]. 红外与激光工程, 2017, 46(10): 1017002-1017002(8). DOI: 10.3788/IRLA201770.1017002
Zhang Yao, Wang Hongli, Lu Jinghui, He Yiyang, Jiang Wei. Calibration method of optical errors for star sensor based on particle swarm optimization algorithm[J]. Infrared and Laser Engineering, 2017, 46(10): 1017002-1017002(8). DOI: 10.3788/IRLA201770.1017002
Citation: Zhang Yao, Wang Hongli, Lu Jinghui, He Yiyang, Jiang Wei. Calibration method of optical errors for star sensor based on particle swarm optimization algorithm[J]. Infrared and Laser Engineering, 2017, 46(10): 1017002-1017002(8). DOI: 10.3788/IRLA201770.1017002

基于粒子群算法的星敏感器光学误差标定方法

Calibration method of optical errors for star sensor based on particle swarm optimization algorithm

  • 摘要: 针对星敏感器光学误差两步法标定局部寻优能力强,但标定结果受初值影响大的问题,基于粒子群算法,提出一种改进的星敏感器光学误差参数标定方法。该方法首先利用粒子群算法全局搜索能力强的优点,为光学误差的两步法标定提供一组次优的初值条件,然后将其代入两步法中,得到标定值。仿真结果表明:该方法能够有效解决两步法标定受初值条件影响大的不足,并能够提高标定结果的稳定性。

     

    Abstract: Aiming at the problem that the calibration result of two-step calibration method for star sensor optical error depends on the initial value too much, a modified calibration method was proposed based on particle swarm optimization (PSO) algorithm. Taking advantage of the global searching ability of PSO algorithm, a set of suboptimal initial value for two-step calibration of optical errors was provided via optimization. In sequence, the two-step calibration method was utilized to obtain the final calibration result. Numerical simulations demonstrate the effectiveness of the proposed method in overcoming the shortages that two-step calibration method is heavily influenced by initial values as well as the improvement of the stability of the calibration.

     

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