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METHODS FOR CALIBRATION OF STRAPDOWN INERTIAL NAVIGATION SYSTEMS (SINS) OF VARIOUS CLASSES OF ACCURACY

机译:各种精度等级的捷联惯导系统(SINS)的标定方法

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Two methods of SINS inertial sensors calibration are studied in this work: 1. An algorithm on the basis of optimal evaluation of the state vector that is correction of instrument trihedron position on the basis of data from accelerometers, 2. Modified algorithm of scalar calibration. A temperature error model is created for both algorithms as well as iterative refinement of sensor errors (including refinement of error model at constant temperature and refinement of temperature model) is realized. Refinement at constant temperatures allows taking into account an influence of parameters of calibration correlation above the first order of infinitesimal. Iterative refinement of temperature model reduces methodical errors from temperature variation and sensor parameters in the calibration cycles at constant temperatures, decreases requirements for precision of heat chamber temperature setting. Results of practical use of methods for calibration of SINS of various accuracy classes are given.
机译:在这项工作中,研究了两种SINS惯性传感器校准方法:1.基于状态向量的最佳评估的算法,即基于来自加速度计的数据校正仪器三面体位置的方法; 2.标量校准的改进算法。为这两种算法创建了温度误差模型,并且实现了传感器误差的迭代优化(包括恒温条件下误差模型的优化和温度模型的优化)。在恒定温度下精炼可以考虑到校准相关性参数对无穷小阶以上的影响。温度模型的迭代改进减少了恒温条件下校准周期中温度变化和传感器参数产生的系统误差,降低了对加热室温度设置精度的要求。给出了各种精度等级的SINS校准方法的实际使用结果。

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