星敏感器辅助惯性导航系统定位

Hongsong Du, Qian Sun, Ya Zhang, Zhao Qi, Yaoyao Wen
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引用次数: 3

摘要

星敏感器可用于辅助惯性导航系统进行导航定位,抑制惯性分量引起的累积误差。在组合导航过程中,星敏感器安装在惯导系统上方,会产生惯导系统主体坐标系与星敏感器主体坐标系之间的安装误差。为了提高系统精度,本文建立了一种充分考虑各种误差因素的陀螺误差模型。将陀螺漂移和陀螺误差系数作为状态变量。利用星敏感器的姿态信息作为高精度信息,与惯导系统的姿态信息构建观测。考虑到实际系统的非线性特性,采用非线性库伯卡尔曼滤波(cuature Kalman filter, CKF)对陀螺误差进行了较好的估计。实验结果表明,该方法大大降低了定位误差。
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Inertial navigation system positioning assisted by star sensor
The Star Sensor can be used to assist the inertial navigation system (INS) for navigation and positioning, restraining the accumulated error caused by the inertial components. During the integrated navigation process, the Star Sensor is installed above the INS, generated installation errors between the INS body coordinate system and the Star Sensor body coordinate system. In order to increase the system accuracy, a new gyro error model is established in this paper which taken full account of various error factors. The gyro drifts and the gyro errors coefficients are considered as the state variables. The attitude information of Star Sensor is used as the high-accurate information to construct the observation with the attitude information of INS. Taken the nonlinearity of the actual system into account, the nonlinear filter Cubature Kalman Filter (CKF) is used to estimate the gyro errors commendably. The experiment results showed that the positioning error reduced a lot by utilizing this novel method.
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