Research on the Algorithm of On-Orbit Calibration Based on Gyro/Star-Sensor

Author

Wang, Peng ; Zhang, Ying-chun ; Qiang, Wen-yi

Author_Institution

Res. Center of Satellite Technol., Harbin Inst. of Technol.

fYear

2006

fDate

13-16 Aug. 2006

Firstpage

303

Lastpage

307

Abstract

In order to control satellites maneuver accurately from one attitude to another, onboard rate sensing gyro usually need be calibrated again after launch. A new on-orbit calibration algorithm is proposed to correct the drift errors of the gyro based on Star-Sensor in this paper. Firstly, the exact dynamic and kinematic models of the gyro are built by error analysis. Then the error model is linearized under reasonable condition, and the state equation of system is educed in detail. The information of attitude Modified Rodrigues Parameters measured by Star-Sensor in real time is used to calibrate the installation error and the calibration error based on the extended Kalman filter. The numerical simulation results show that the new method is effective practically to improve the navigation precision, longevity of gyro effectively and to provide better reliability and adaptability

Keywords

Kalman filters; artificial satellites; attitude control; calibration; error analysis; gyroscopes; calibration error; drift errors; dynamic model; error analysis; error model; extended Kalman filter; gyro longevity; gyro sensor; installation error; kinematic model; modified Rodrigues parameters; navigation precision; on-orbit calibration algorithm; satellites maneuver; star-sensor; system state equation; Angular velocity; Attitude control; Calibration; Computer errors; Cybernetics; Equations; Error analysis; Kinematics; Machine learning; Satellite navigation systems; Satellites; Space technology; Vibration measurement; Extended Kalman filter; Linearize; Modified rodriguesparameters; On-orbit calibration;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2006 International Conference on

Conference_Location

Dalian, China

Print_ISBN

1-4244-0061-9

Type

conf

DOI

10.1109/ICMLC.2006.259028

Filename

4028078