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

fYear

2013

fDate

21-23 Sept. 2013

Firstpage

262

Lastpage

267

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Instrumentation, Measurement, Computer, Communication and Control (IMCCC), 2013 Third International Conference on

Conference_Location

Shenyang

Type

conf

DOI

10.1109/IMCCC.2013.62

Filename

6840451