Abstract—

Refinement of the electrostatic gyroscope (ESG) drift model aboard an orbital maneuverable satellite for remote sensing of the Earth’s surface is considered. Some changes of the drift model also hold for the ESG ground-based applications. The paper also analyzes the quasi-continuous correction mode of the ESG-based strapdown inertial attitude reference system (SIARS) using raw (unsmoothed) data from the star tracker and the extended Kalman filter (EKF) algorithm. A special feature of solving the problem of SIARS output data correction and the calibration problem in this mode is rejection of incorrect measurements. The algorithm for this problem solution is described. The ESG drift model is given both for the SIARS calibration mode in order to ensure an adequate prediction of ESG drifts over a long time interval and for the quasi-continuous correction mode under spacecraft maneuvering conditions. The results of data processing of the flight tests of the SIARS and the star tracker aboard one of the spacecraft are discussed.

中文翻译：

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完善轨道航天器捷联式ESG的漂移模型

摘要—

考虑改进可旋转卫星上的静电陀螺仪（ESG）漂移模型，以遥感地球表面。漂移模型的某些变化也适用于ESG地面应用。本文还使用来自恒星追踪器的原始（不平滑）数据和扩展卡尔曼滤波器（EKF）算法，分析了基于ESG的捷联惯性姿态参考系统（SIARS）的准连续校正模式。解决SIARS输出数据校正问题和此模式下的校准问题的一个特殊功能是拒绝错误的测量。描述了此问题解决方案的算法。针对SIARS校准模式提供了ESG漂移模型，以确保在很长的时间间隔内对ESG漂移进行足够的预测，并为航天器操纵条件下的准连续校正模式提供了ESG漂移模型。讨论了SIARS和其中一颗航天器上的恒星跟踪仪的飞行测试的数据处理结果。