基于自适应迭代最小二乘的叶片后缘参数估计  

Parameter Estimation of Blade Trailing Edge Based on Adaptive and Iterative Least-Square

作　　者：鲍鸿[1] 胡忠[1] 徐维超[1] 曾海涛[1] 周延周[1] 

机构地区：[1]广东工业大学自动化学院,广东广州510006

出　　处：《测控技术》2016年第4期39-42,共4页Measurement & Control Technology

基　　金：国家自然科学基金(11072063)

摘　　要：为了解决燃气轮机叶片后缘轮廓参数辨识的难题,提出了自适应迭代最小二乘法。通过三维激光测量系统得到叶片后缘三维轮廓点云数据,测量精度±5μm,使用该算法对后缘所有截面进行拟合,拟合精度±0.001 mm。通过在不同程度高斯噪声下仿真后缘测量数据,对比分析了两种算法的拟合效果。自适应迭代最小二乘法对叶片后缘轮廓的高精度、高效率参数辨识有着重要意义。In order to solve the problem of the parameter identification of gas turbine blade trailing edge profile,an adaptive and iterative least-square is presented.The blade trailing edge three dimensional profile point cloud data are obtained through three-dimensional laser measurement system,the measuring precision is ±5μm,the algorithms is used to fit all cross-section of trailing edge,the fitting precision is ±0.001 mm.The results of two kinds of algorithms are compared and analyzed based on simulation measured-data of trailing edge under varying degrees of Gaussian noise.Adaptive and iterative least-square is of great significance to the highprecision and efficient parameter identification of gas turbine blade trailing edge profile.

关 键 词：叶片后缘 最小二乘法 三维激光测量 参数辨识 

分 类 号：TB96[机械工程—光学工程]