Ni Yuanman, Tan Wenfeng, Dai Dongkai, Wang Xingshu, Qin Shiqiao
College of Advanced Interdisciplinary Studies, National University of Defense Technology, Changsha 410073, Hunan, China.
Rev Sci Instrum. 2021 Mar 1;92(3):035001. doi: 10.1063/5.0027530.
The stellar/inertial integrated navigation system, which combines the inertial navigation system (INS) and the star tracker, can restrain the accumulated INS errors. In the traditional loosely coupled stellar/inertial integration method, the star tracker needs to observe more than two navigation stars on an image for attitude determination and to use the attitude information as the observation to estimate the systematic errors of the INS. However, under strong background radiation conditions, the star number in the field of view (FOV) usually drops below 3; thus, the loosely coupled method fails to work. To overcome this difficulty, an improved tightly coupled stellar/inertial integration method based on the observation of the star centroid prediction error (SCPE) is proposed in this paper. It calculates the difference between the extracted star centroid and the predicted star centroid, namely, the SCPE, as the observation and then estimates the INS errors with a Kalman filter. Numerical simulations and ground experiments are conducted to validate the feasibility of the tightly coupled method. It is proved that the proposed method, which makes full use of all star observation information, can improve the navigation accuracy compared with the loosely coupled method and is more robust when there are not enough stars in the FOV.
星载/惯性组合导航系统将惯性导航系统(INS)与星敏感器相结合,能够抑制惯性导航系统的累积误差。在传统的松耦合星载/惯性组合方法中,星敏感器需要在一幅图像上观测两颗以上的导航星以确定姿态,并将姿态信息作为观测量来估计惯性导航系统的系统误差。然而,在强背景辐射条件下,视场(FOV)中的星数通常会降至3颗以下,因此松耦合方法无法正常工作。为克服这一困难,本文提出了一种基于星质心预测误差(SCPE)观测的改进型紧耦合星载/惯性组合方法。该方法将提取的星质心与预测的星质心之间的差值,即星质心预测误差,作为观测量,然后用卡尔曼滤波器估计惯性导航系统的误差。通过数值仿真和地面实验验证了紧耦合方法的可行性。结果表明,所提方法充分利用了所有星观测信息,与松耦合方法相比,能够提高导航精度,并且在视场中星数不足时更具鲁棒性。