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ACTA AERONAUTICAET ASTRONAUTICA SINICA ›› 2021, Vol. 42 ›› Issue (4): 524971-524971.doi: 10.7527/S1000-6893.2020.24971

• Electronics and Electrical Engineering and Control • Previous Articles     Next Articles

Filter method for dimension reduction in spacecraft autonomous navigation based on sequence image

SUN Bowen1,2, WANG Dayi2, WANG Jiongqi1, ZHOU Haiyin1, GE Dongming2, DONG Tianshu2   

  1. 1. College of Liberal Arts and Sciences, National University of Defense Technology, Changsha 410073, China;
    2. Institute of Spacecraft System Engineering, China's Academy of Space Technology, Beijing 100094, China
  • Received:2020-11-14 Revised:2020-12-06 Published:2020-12-28
  • Supported by:
    National Science Fund for Distinguished Young Scholars (61525301); National Natural Science Foundation of China (U20B2055); National Natural Science Foundation of China (61773021, 61903366, 61903386); National Natural Science Foundation of Hunan Province, China (2020 JJ4280)

Abstract: Motion measurement and state estimation of the non-cooperative target play an important role in the development of space technology. Estimation of the relative state of the non-cooperative target is a difficult problem. In the traditional extended Kalman filter algorithm, it is needed to estimate the centroid position of the non-cooperative target, which increases the dimension of state variables and uncertainty of the system, and thus affects the convergence speed of extended Kalman filtering. In this paper, a relative navigation method for non-cooperative target based on the sequence image is proposed. The attitude estimation of non-cooperative target can be realized without estimation of the centroid position, then the centroid position can be estimated based on the attitude estimated before. The relationship between the measured value and the true attitude of the non-cooperative target is derived. The sequence-image based measurement model is constructed. The state formula without the centroid position of the non-cooperative target and the state formula based on the position and velocity of non-cooperative target are established. An extended Kalman filter algorithm for state estimation of the non-cooperative target is developed. It is shown that the proposed method can converge rapidly within 50 samples times (i.e., 5 seconds) at a sampling frequency of 10HZ in the simulation, and is thus beneficial to the on-orbit service and maintenance of space vehicles.

Key words: non-cooperative target, sequence image, relative navigation, filter algorithm, convergence speed

CLC Number: