Minimum-Variance Estimation of Thrust Acceleration During Orbit Transfer Process
Hengnian Li, Jisheng Li, Yongxuan Huang · 20th AIAA International Communication Satellite Systems Conference and Exhibit · 2002
A minimum-variance estimation is developed for thrust acceleration applied to orbit transfer using discrete-time Radar measurements. An integral state model is used for the unknown Mass-Flow-Rate during transfer process. An extended Kalman Filter(EKF) is developed for the forward estimate in real time. And variation equations about the motion states to Mass-Flow-Rate are developed in the Earth Centered Inertial (ECI) coordinate frame. The method was used on many Geosatationary satellite transfer process successfully. The results show the method developed here can detect and determinate whether engines applied for orbit transfer work well or failure precisely and quickly.