Spherical Simplex Unscented Kalman Filter based on Modified Rodrigues Parameters for Attitude Determination of Micro Satellite
According to the observation vector acquired by Micro-Electro-Mechanical System (MEMS) and Active Pixel Sensor (APS) star tracker for three-axis stabilization micro-satellite, an attitude estimation using spherical simplex unscented transformation Kalman filtering ( SSUKF) based on modified Rodrigues parameters (MRPs) was presented. The model was implemented, in which the sampling points were decreased through spherical simplex unscented transformation (SSUT) while the filter performance was guaranteed and the computation was reduced through attitude of satellite described by MRPs. The simulation results of some micro-satellite showed that this algorithm could insure accuracy, fast convergence and high robustness with high computation efficiency, which was suitable for the attitude estimation of micro-satellite.
spherical simplex unscented transformation (SSUT) modified Rodrigues parameters (MRPs) Kalman filter attitude estimation
Kaichun Zhao Zejiang Yu Zi Yang Zheng Yo
Tsinghua University, Department of Precision Instruments and Mechanology, Beijing 100084, China Tsinghua University, State Key Laboratory of Precision Measurement Technology and Instruments.Beijin
国际会议
重庆
英文
124-128
2011-01-21（万方平台首次上网日期，不代表论文的发表时间）