A High Precision On-orbit Calibration Method for Star Sensors Based on Particle Swarm Optimization

The structural design and installation of the star sensor will produce a variety of errors.The main error sources include the plane principal point error,principal distance error,tilt error and rotation error of the star sensor,which affect the accuracy of the on-orbit calibration of the star sensor.Based on the error model of star sensor,a high precision calibration method for star sensor in orbit is proposed.When the particle swarm optimization algorithm makes the coordinates of the image point with errors projected onto the virtual image plane consistent with the coordinates of the image point without errors,the three-axis attitude angle is solved by using Quest to obtain the attitude matrix between the two image planes,and the relationship between the two image planes is obtained.The results show that the attitude determination accuracy of the star sensor is high and stable.The advantage of this method over the traditional calibration method is that it does not depend on the gyro information,the principle is simple,and the accuracy of the data is improved.

Improving the accuracy of star sensor in orbit calibration is a current research hotspot. This article proposes a star sensor in orbit calibration method based on particle swarm optimization algorithm to address this issue, and elaborates on the calibration process in detail. Through simulation, it can be seen that this method improves the calibration accuracy of the star sensor, with an accuracy of up to 10 ^ -10 arcseconds, and has significant engineering practical value. However, this article did not consider other error sources, such as star sensor lens distortion, temperature, etc. Therefore, the impact of lens distortion and temperature on the calibration accuracy of star sensors will be studied in the future.