宇航学报 ›› 2014, Vol. 35 ›› Issue (2): 200-206.doi: 10.3873/j.issn.1000-1328.2014.02.011

• 制导、导航与控制 • 上一篇    下一篇

基于扩张状态观测器的空间飞网捕捉系统参数估计

刘志新,游秀,杨洪玖,李洪波   

  1. 1. 燕山大学电气工程学院自动化系,秦皇岛 066004; 2.清华大学计算机科学与技术系,北京 100084
  • 收稿日期:2012-06-18 修回日期:2013-11-11 出版日期:2014-02-15 发布日期:2014-02-25
  • 基金资助:

    国家自然科学基金(61104033, 61203023);河北省自然科学基金(F2012203109)

The Parameter Estimation Based on Extended State Observer for Space Net Capture System

LIU Zhi xin,  YOU Xiu,  YANG Hong jiu,  LI Hong bo   

  1. 1. Institute of Electrical and Engineering, Yanshan University, Qinhuangdao 066004,China;
    2. Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China
  • Received:2012-06-18 Revised:2013-11-11 Online:2014-02-15 Published:2014-02-25

摘要:

针对飞网捕获高轨失效卫星后离轨操作过程中非合作目标质量的参数辨识问题,提出了一种基于扩张状态观测器和最小二乘法的参数辨识方法。首先利用扩张状态观测器估计未知的状态量,然后用最小二乘法处理此估计量,从而求得待估计参数。最后,将该方法与协方差修正最小二乘算法、卡尔曼滤波法等其他参数辨识方法进行仿真比较,仿真结果验证了此参数辨识方法的有效性和鲁棒性。

关键词: 空间飞网, 参数辨识, 扩张状态观测器, 最小二乘法

Abstract:

For the parameter identification of non cooperative target mass in the process of deorbit operation after high orbit satellite net capture failure, a parameter estimation method combing the extended state observer with the least square method is presented. Firstly, the unknown state will be estimated by using the extended state observer. Then, the estimated value of non cooperative target is calculated by applying the least square method. Finally, the simulations are performed and the comparison is made among the proposed method, the covariance correction least squares algorithm, the Kalman filtering method and the other methods. The simulation results further demonstrate both effectiveness and robustness of the proposed method.
 

Key words: Space net, Parameter identification, Extended state observer, Least square method

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