The Research of Micro-Satellite Attitude Determination Based on Predictive Filter

Abstract

— An extended predictive filter is presented for attitude determination of Micro-satellite based on the basic theory of predictive filter. This algorithm enhances the precision of kinematics equation, accurately estimates satellite attitude angle and angular velocity using measurement vectors from magnetometer and sun sensors by predicting model errors and angular velocity errors one step ahead. In addition, a new measurement model is derived about angular velocity, which improved the efficiency of the use of measurement vectors. Simulation results show both the high reliability and precision of this method.

Developments of attitude determination and control system of microsats: A survey

“…More specifically, the system noise should comply with the white Gaussian distribution when using Kalman-type filters, while the noise level and its distribution cannot be obtained for satellites ahead of time. 25 In such case, other filters such as predictive filter (PF), [26][27][28] unscented predictive filter (UPF), 29,30 cubature predictive filter (CPF), 31,32 center difference predictive filter (CDPF), 33,34 and predictive variable structure filter (PVSF) [35][36][37][38] were proposed for attitude estimation. In the meantime, filters such as particle filter 39 and robust filter 40 can also be found in the literature.…”