Research On The Attitude Determination Of Satellites Based On The Multi-sensor Information Fusion

The dissertation, taking a specific meteorologic satellite as an example, studies theoretically the design of the attitude determination system for the three-axis stabilized satellite. The attitude sensors and estimation methods for attitude determination were modeled. And numerical examples for these models are given.With the dynamic model of satellite's attitude applied, the estimate models of attitude determination based on Euler angle method are presented. Appling the estimate model, the schemes of attitude determination in the period of stabilized control based on Extended Kalman Filter(EKF) algorithm are studied, using such as infrared horizon sensors only, star sensors only, both infrared horizon sensors and star sensors, both star sensors and gyros, both infrared horizon sensors and gyros, both magnetic sensors and gyros and so on. The attitude determination method using gyros only in the period of speed damping are studied.With the kinematic model of satellite's attitude applied, the estimate models of attitude determination based on Euler angle method are presented. Appling the estimate model, the schemes of attitude determination using both star sensors and gyros in the period of stabilizing control based on Extended Kalman Filter (EKF) algorithm are studied.Numerical examples for these algorithms are simulated and analysed. Simulation results show that the algorithms have quite stability, astringency and certain precision. Fitting middle and high precision requirement, these algorithms have an applicable future in the attitude determination of the three-axis stabilizing satellite and the self-contained navigation system.