微小卫星太阳敏感器/磁强计实时标定算法研究  被引量:6

Real-time Sun-sensor/Magnetometer Calibration Algorithm for Micro-satellite

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作  者:段方[1] 刘建业[1] 李丹[1] 

机构地区:[1]南京航空航天大学导航研究中心

出  处:《航空学报》2007年第1期173-176,共4页Acta Aeronautica et Astronautica Sinica

摘  要:提出了一种对磁强计/太阳敏感器的无姿态信息的在轨实时标定方法。在现有的标定算法中,仅采用地磁矢量的模作为观测量,本文引入地磁矢量与太阳矢量之间的数量积作为观测量,增强了其可观性,也使对太阳敏感器的实时标定成为可能。扩展卡尔曼滤波器(Extended Kalman Filter,EKF)虽然获得广泛应用,但其线性化过程会引入截断误差,而无香卡尔曼滤波器(Unscented Kalman Filter,UKF)是非线性滤波方法,不须对系统进行线性化。分别利用EKF与UKF的滤波标定算法进行标定研究,仿真结果表明了本文算法的有效性,如磁强计偏置的标定精度,UKF比EKF高26%。A real-time on-orbit attitude-independent calibration algorithm for sun-sensor/magnetometer is proposed. In the existing calibration algorithm, only the norm of the geomagnetic field is used as the measurement. In this paper the dot production between the magnetic vector and the sun vector is introduced as another measurement, so that the system observability is reinforced, and it also enables the real-time calibration of the sun-sensor. Although extended Kalman filter (EKF) is widely used, its linearization process introduces some errors into the system. Unscented Kalmam filter(UKF) is a non linear filter which needn't the linearization process. Calibration algorithm using EKF and UKF are researched in this paper. Simulation results show that the proposed altorithm is effetive. For example, in the magnetometer bias calibration, the accuracy of UKF is 26 % higher than that of EKF.

关 键 词:标定 姿态确定 卡尔曼滤波 微小卫星 无香变换 

分 类 号:V448.22[航空宇航科学与技术—飞行器设计]

 

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