Systems Engineering and Electronics ›› 2023, Vol. 45 ›› Issue (3): 822-830.doi: 10.12305/j.issn.1001-506X.2023.03.24

• Guidance, Navigation and Control • Previous Articles     Next Articles

Study on attitude measurement algorithm of star sensor

Hui DUAN1,2, Zhaofa ZHOU1,2,*, Zhili ZHANG1,2, Zhihao XU1,2, Shiwen HAO1,2, Jin ZENG3   

  1. 1. School of Missile Engineering, Rocket Force University of Engineering, Xi'an 710025, China
    2. State Key Discipline Laboratory of Armament Launch Theory and Technology, Rocket Force University of Engineering, Xi'an 710025, China
    3. Aviation Key Laboratory of Science and Technology on Inertial Technology, Flight Automatic Control Research Institute, Xi'an 710065, China
  • Received:2021-11-12 Online:2023-02-25 Published:2023-03-09
  • Contact: Zhaofa ZHOU

Abstract:

For the problem of low accuracy of traditional vector fixation method, the mainstreammulti-vector astronomical attitude determination algorithm based on star sensor is studied, and singular value decomposition (SVD) algorithm, double vector fixed attitude algorithm, least square (LS) algorithm, quaternion estimator (QUEST) algorithm and linear estimation algorithm are derived theoretically in detail. The linear estimation algorithm disperses the coordinate transformation equations of each vector pair and deduces the corresponding quaternion form, then combines the coordinate transformation equations of all vectors, and linearizes the quadratic quaternion matrix equation based on the M-P pseudo-inverse operation of rectangular matrix. On this basis, considering the influence of random noise, a robust operation is performed on the quaternion matrix equation with degree 1.The method has good innovation and practicability. With the goal of minimizing the Wahba loss function, the performance of the attitude determination algorithm is compared and analyzed. The simulation and experimental results show that the linear estimation algorithm has faster solving speed and higher accuracy than the other four algorithms.

Key words: star sensor, attitude determination, linear estimation, multi-vector

CLC Number: 

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