Title :
Compensation of Star Sensor´s Low Frequency Error Based on Nonlinear Filtering Algorithm
Author :
Zhang Jiali ; Qiu Hongzhuan ; Yang Jing
Author_Institution :
Sch. of Autom. Sci. & Electr. Eng., Beihang Univ., Beijing, China
Abstract :
Low frequency error of star sensor that caused by the thermal distortion of star sensor and its installation structure is an important part of the star sensor´s measurement error. And it is one of the most important factors that affect the satellite attitude determination accuracy and cannot be eliminated by traditional filtering method. In order to deal with this problem, a low frequency error compensation method for star sensor based on state estimation algorithm is used in this paper. The numerical simulation illustrates that the effect of the star sensor´s low frequency error on attitude determination accuracy is effectively decreased by the proposed method.
Keywords :
error compensation; filtering theory; nonlinear filters; state estimation; low frequency error compensation method; nonlinear filtering algorithm; satellite attitude determination accuracy; star sensor low frequency error; state estimation algorithm; thermal distortion; Covariance matrices; Filtering; Frequency estimation; Gyroscopes; Mathematical model; Satellites; extended Kalman filter unscented Kalman filter; low frequency error;
Conference_Titel :
Instrumentation, Measurement, Computer, Communication and Control (IMCCC), 2013 Third International Conference on
Conference_Location :
Shenyang
DOI :
10.1109/IMCCC.2013.62
