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首页> 外文会议>AIAA/ASME/SAE/ASEE joint propulsion conference exhibit >A Universal Tare Load Prediction Algorithm for Strain-Gage Balance Calibration Data Analysis
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A Universal Tare Load Prediction Algorithm for Strain-Gage Balance Calibration Data Analysis

机译：应变计平衡标定数据分析的通用皮重负荷预测算法

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An algorithm is discussed that may be used to estimate tare loads of wind tunnel strain-gage balance calibration data. The algorithm was originally devel oped by R. Galway of IAR/NRC Canada and has been described in the literature for the iterative analysis technique. Basic ideas of Galway's algorithm, however, are universally applicable and work for both the iterative and the non-iterative analysis technique. A recent modification of Galway's algorithm is presented that improves the convergence behavior of the tare load prediction process if it is used in combination with the non-iterative analysis technique. The modified algorithm allows an analyst to use an alternate method for the calculation of in termediate non-linear tare load estimates whenever Galway's original approach does not lead to a convergence of the tare load iterations. It is also shown in detail how Galway's algorithm may be applied to the non-iterative analy sis technique. Hand load data from the calibration of a six-component force balance is used to illustrate the application of the original and modified tare load prediction method. During the analysis of the data both the iterative and the non-iterative analysis technique were applied. Overall, predicted tare loads for combinations of the two tare load prediction methods and the two balance data analysis techniques showed excellent agreement as long as the tare load iterations converged. The modified algorithm, however, appears to have an ad vantage over the original algorithm when absolute voltage measurements of gage outputs are processed using the non-iterative analysis technique. In these situ ations only the modified algorithm converged because it uses an exact solution of the intermediate non-linear tare load estimate for the tare load iteration.
机译：讨论了可用于估计风洞应变计平衡校准数据的皮重的算法。该算法最初由加拿大IAR / NRC的R. Galway开发，并在文献中已针对迭代分析技术进行了描述。但是，戈尔韦算法的基本思想是普遍适用的，并且适用于迭代和非迭代分析技术。提出了高威算法的最新修改形式，如果与非迭代分析技术结合使用，可以改善皮重负荷预测过程的收敛性。只要戈尔韦的原始方法没有导致皮重载荷迭代的收敛，经过修改的算法允许分析人员使用替代方法来计算中间的非线性皮重载荷估计。还详细显示了如何将Galway算法应用到非迭代分析技术中。来自六分量力平衡的校准的手负载数据用于说明原始皮重和改进的皮重负载预测方法的应用。在数据分析过程中，同时应用了迭代和非迭代分析技术。总体而言，只要皮重载荷迭代收敛，用于两种皮重载荷预测方法和两种平衡数据分析技术的组合的预测皮重载荷就显示出极好的一致性。但是，当使用非迭代分析技术处理量规输出的绝对电压测量值时，修改后的算法似乎比原始算法更具优势。在这些情况下，仅修改算法会收敛，因为该算法使用中间非线性皮重负载估计值的精确解来进行皮重加载迭代。

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