Optimize star sensor calibration based on integrated modeling with hybrid WOA-LM algorithm

Abstract

To ensure the high measurement accuracy, the star sensor must be accurately calibrated before use. Which calibration method is selected to complete the calibration of parameters and how to improve the precision of parameters calibration is the key to achieve high precision attitude measurement of star sensor. Aiming at the problem that the accuracy of the traditional calibration algorithm is greatly affected by the initial value, a parameter calibration algorithm based on hybrid WOA-LM algorithm is proposed. This algorithm can dynamically fuse levenberg-Marquardt (LM) algorithm with Whale Optimization Algorithm (WOA). By making full use of the global search ability of WOA algorithm and the local optimization ability of LM algorithm, the problems of traditional algorithm relying on the initial value, easy to fall into local convergence, low WOA algorithm’s calibration efficiency and calibration results are solved. Compared with WOA method, Li method, and the two-step method, this method has better performance. Simulation and experimental results show that this method can optimize all parameters of the star sensor with high accuracy and efficiency.