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首页> 外文期刊>Aerospace and Electronic Systems, IEEE Transactions on >Identification of Dynamic Parameters for a One-Axis Drag-Free Gradiometer
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Identification of Dynamic Parameters for a One-Axis Drag-Free Gradiometer

机译：一轴无阻力梯度仪的动态参数识别

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摘要

A parametric estimation algorithm for a single-axis gradiometer is described. The most influential parameters are isolated and estimated; their bias and variance are discussed. Even though the system is closed-loop controlled, only plant parameters are estimated using an open-loop identification equation, which simplifies the identification procedure. The estimates are obtained using the method of instrumental variables (IV). The advantage of this method is that it remains bias-free even when the system states are correlated with the measurement noise. The problem is described in a one-dimensional frame, but it can be extended to the multivariate case if necessary. The estimated parameters are then used to reconstitute the closed-loop transfer function, which allows the input disturbance that caused the observed signal to be deduced. The estimation algorithm is applied to the laser interferometer space antenna (LISA) technology package, which is the scientific payload of the LISA Pathfinder spacecraft (SC), an ESA/NASA technology demonstrator to be launched in 2014. The analysis is operated on a simulated dataset produced with the mission end-to-end simulator (E2E) as well as with a simple linear simulator. The on-board software and hardware constraints are taken into account since they are important performance drivers. The results are detailed along with the experiment model.
机译：描述了用于单轴梯度计的参数估计算法。最具影响力的参数已被隔离和估算；他们的偏见和差异进行了讨论。即使系统是闭环控制的，也只能使用开环识别方程估算设备参数，从而简化了识别过程。估计值是使用工具变量（IV）的方法获得的。这种方法的优点是，即使系统状态与测量噪声相关，它仍然保持无偏差。该问题在一维框架中描述，但是如果需要，可以扩展到多变量情况。然后，将估计的参数用于重构闭环传递函数，该函数允许推导引起观察信号的输入干扰。该估计算法应用于激光干涉仪空间天线（LISA）技术包，该技术包是LISA探路者航天器（SC）的科学有效载荷，该航天器是将于2014年发射的ESA / NASA技术演示器。由任务端到端模拟器（E2E）以及简单的线性模拟器生成的数据集。考虑到板载软件和硬件限制，因为它们是重要的性能驱动因素。结果和实验模型一起进行了详细说明。

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