Adaptively calibrating the stand of aviation vector engine
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摘要:
为了对矢量航空发动机测力台架进行静态校准,首先对两种专用校准设备的校准力空间进行了分析,并将各项加载的合力分类为纯力、纯力偶、力线矢和力螺旋。然后针对隐式的二次多项式回归模型,分别基于改进的D优化准则和K中心点聚类方法进行了校准力空间的优化选择,得到了优化后的加载表。最后通过对比两种方法得到的加载表的D优化值、方差膨胀因子和加载点水平值,发现前述两种方法自动生成的加载表都能在满足其他指标要求的前提下使得广义方差尽可能小。以上理论和方法可以自适应地推广到其他构型的矢量推力台架校准设备上,为提高矢量推力测力台架的校准精度和效率提供重要理论及技术支持。
Abstract:In order to calibrate six-component stands, the calibration spaces of two certain calibrating equipment were analyzed and all possible calibration points were classified as force, couple, line vector and wrench firstly. Then, based on implicit second order polynomial, these spaces were optimized by improved D-optimal rule and K-medoids clustering method to form loading schedules. In the end, by comparing the D-opt values, variance inflationfactor (VIF) and leverage values, it was found that all automatically generated loading schedules can minimize the generalized variance of the coefficients under the premise of satisfying the requirement of other indexes. Above theory analysis and method can be applied into other type of calibrating equipment adaptively to improve the calibration precision and efficiency simultaneously.
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Key words:
- six-component stand /
- calibrating equipment /
- calibration space /
- load schedule /
- static calibration
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表 1 两种校准空间中加载力数目及组成
Table 1. Number and composition of loading forces in two calibration spaces
项数 台架1 台架2 数量 组成 数量 组成 一项 6 (0, 0, 6, 0) 16 (0, 0, 16, 0) 二项 15 (2, 0, 3, 10) 112 (4, 16, 28, 64) 三项 20 (0, 0, 5, 15) 448 (0, 0, 96, 352) 四项 15 (1, 0, 1, 13) 1120 (4, 56, 50, 1008 )五项 6 (0, 0, 0, 6) 1792 (0, 0, 96, 1696 )六项 1 (0, 0, 0, 1) 1792 (8, 72, 76, 1636 )七项 1024 (0, 0, 96, 928) 八项 256 (8, 24, 32, 192) 总计 63 (3, 0, 15, 45) 6560 (24, 168, 490, 5876 )表 2 台架1两种优化方法的比较
Table 2. Comparison of two optimization methods for stand 1
方法 加载点数 D优化值/10−9 VIF 改进D优化准则 84 1.28 1070 K中心聚类 84 6.39 725 表 3 台架2两种优化方法的比较
Table 3. Comparison of two optimization methods for stand 2
方法 加载点数 D优化值 VIF 改进D优化准则 84 1.24×10−19 2.49 K中心聚类 84 1.46×10−18 2.87 -
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