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In-Orbit Data Driven Identification of Satellite Inertia Matrix

机译:卫星惯量矩阵的轨道数据驱动识别

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摘要

This paper proposes a procedure for estimating the inertia matrix of a satellite from flight telemetry data. The Euler’s equations, that govern the rotational dynamics of a satellite are considered for the modeling. The satellite system is operating in closed loop, making the estimation of the parameters more challenging from the theoretical point of view. The estimation method consists in the implementation of a closed-loop instrumental variable method, that has the capability of yielding consistent results with mild requirements on the noise properties. The performance of the proposed method is tested by Monte Carlo simulations based on a satellite model. These results are analyzed and compared to two other estimation methods.
机译:本文提出了一种估算飞行遥测数据卫星惯性矩阵的过程。用于管理卫星旋转动态的欧拉方程被认为是建模。卫星系统在闭环中运行,从理论的角度来看,估计参数更具挑战性。估计方法包括闭环仪器变量方法的实现,其具有对噪声属性的温和要求产生一致结果的能力。基于卫星模型的Monte Carlo模拟测试了所提出的方法的性能。分析这些结果并将其与另外两种估计方法进行了分析。

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