可观测性分析估计惯导传递对准误差

Yanling Hao, Z. Xiong, Baiya Xiong
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引用次数: 7

摘要

给出了惯性导航系统在静止机动和等速机动两种情况下的传递对准估计误差。分析的状态变量包括不对准和惯性传感器误差。本文的惯性传递对准模型采用了速度匹配算法。为了简化推导过程,利用虚拟变量代替主惯性导航系统除修正后的速度信息外的参数,得到速度匹配模型。因此,它类似于常见的运动中对准模型。然后,分析了传递对准的可观测性。静止或匀速运动时至少有3种不可观测状态。结果表明,在恒速运动过程中,估计误差随测得的比力和角速度的变化而变化,而不是固定的
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Estimation error of INS transfer alignment through observability analysis
Estimation errors of the transfer alignment of the inertial navigation system (INS) are presented in two cases, which are stationary state and constant velocity maneuver. The analyzed state variables include misalignment and inertial sensor errors. The INS transfer alignment model uses the velocity matching algorithm in this paper. In order to simplify the deduction process, the velocity matching model is obtained by utilizing the virtual variables to replace the parameters of the master inertial navigation system (MINS) except for the corrected velocity information from the MINS. So it is similar to the common in-motion alignment model. Then, the observability of the transfer alignment is analyzed. There are at least 3 unobservable states at rest or during the constant velocity motion. The conclusion is obtained, that the estimation errors are not fixed, but changed with the sensed specific force and angular rate during the constant velocity motion
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