总最小二乘法在PIGA误差模型辨识中的应用

Fengxia Xu, Zhongda Lu, Dai Xuefeng
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引用次数: 3

摘要

基于误差因子对PIGA的全方位影响,建立了理论误差模型。在三轴转台上进行了PIGA的测试,分析表明输入加速度包含了测试设备的位置误差。利用三轴转台的测试数据,对PIGA的误差模型进行了识别,并与最小二乘法进行了比较,提出了总最小二乘法。应用总最小二乘法的目的是消除检测设备误差对仪器精度的影响,但其精度优于最小二乘法,可以提高检测PIGA的识别精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The application of total least squares method in the error model identification of PIGA
Based on all-round effect of error factor for PIGA, the paper establishes theoretical error models. Develops the testing of PIGA on the three- axes turntable, the analysis has shown that the input acceleration includes position error of the testing equipment. We use the testing data by the three- axes turntable to identify the error model of PIGA, and the total least squares method by the comparison with the least squares. The purpose of applying the total least squares method is to eliminate the influence of the testing equipment error to instrument precision, but the accuracy is superior to the least squares, which can enhance identification precision of the testing PIGA.
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