Volume 46 Issue 10
Nov.  2017
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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

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

doi: 10.3788/IRLA201770.1017002
  • Received Date: 2017-02-10
  • Rev Recd Date: 2017-03-20
  • Publish Date: 2017-10-25
  • 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.
  • [1] Lu Jinghui, Wang Hongli, Wen Tao, et al. Error calibration method for star sensor[C]//20112nd International Conference on Information, Networking and Automation, 2011:98-101.
    [2] Wang Hongtao, Luo Changzhou, Wang Yu, et al. Star sensor model parametric analysis and calibration method study[J]. Journal of University of Electronic Science and Technology of China, 2010, 39(6):880-885. (in Chinese)
    [3] Liu Haibo, Wang Wenxue, Chen Shengyi, et al. Star tracker ground calibration based on the invariant of interstar angles[J]. Journal of National University of Defense Technology, 2014, 36(6):48-52. (in Chinese)
    [4] Griffith D T, Singla P, Junkins J L. Autonomous on-orbit calibration of approaches for star tracker cameras[J]. Advances in the Astronautical Sciences, 2002, 11(2):39-57.
    [5] He Pengju, Liang Bin, Zhang Tao, et al. Calibration method for wide field of view star sensor[J]. Acta Optica Sinica, 2011, 31(10):1-7. (in Chinese)
    [6] Fan Qiaoyun, Li Xiaojuan, Zhang Guangjun. Selection of star sensor lens aberration model[J]. Infrared and Laser Engineering, 2012, 41(3):665-670. (in Chinese)
    [7] Dong Fang. Researches on particle swarm optimizer and its applications in dynamic optimization[D]. Hangzhou:Zhejiang University, 2014. (in Chinese)
    [8] Qiao Xing, Wang Hongli, Wang Yongsheng, et al. Parameter calibration of star sensor based on GA-LM fusion algorithm[J]. Laser Infrared, 2014, 47(11):1224-1229. (in Chinese)
    [9] Sun Li, Jiang Jie, Li Jian, Ji Feilong. Structural parameter calibration method for multiple field of view star tracker[J]. Journal of Beijing University of Aeronautics and Astronautics, 2015, 41(8):1532-1538. (in Chinese)
    [10] He Yiyang, Wang Hongli, Lu Jinghui, et al. Optical distortion influence of WFOV star sensor on focal length calibration[J]. Journal of Beijing University of Aeronautics and Astronautics, 2016, 23(1):53-56. (in Chinese)
    [11] Liu Lei, Liu Ye, Cao Jianfeng, et al. A realtime on-orbit calibration method for integrated attitude determination by gyros/star sensors[J]. Journal of Spacecraft TTC Technology, 2014, 33(2):152-157. (in Chinese)
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Calibration method of optical errors for star sensor based on particle swarm optimization algorithm

doi: 10.3788/IRLA201770.1017002
  • 1. Department of Control Engineering,Rocket Force University of Engineering,Xi'an 710025,China

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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