Improved sequential quadratic programming algorithm for axisymmetric aspheric profile error evaluation

被引:0
作者
Zhuo S. [1 ,2 ]
Wang H. [1 ,2 ]
Yao H. [1 ,2 ]
Zhang J. [1 ,2 ]
机构
[1] State Key Laboratory of Precision Electronic Manufacturing Technology and Equipment, Guangdong University of Technology, Guangzhou
[2] Guangdong Provincial Key Laboratory of Micro-Nano Manufacturing Technology and Equipment, Guangdong University of Technology, Guangzhou
来源
Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS | 2023年 / 29卷 / 08期
基金
中国国家自然科学基金;
关键词
minimum zone; Newton-Raphson method; optical aspheric surface; profile error; seqential quadratic programming;
D O I
10.13196/j.cims.2023.08.014
中图分类号
学科分类号
摘要
To evaluate the axisymmetric aspherical parts efficiently and accurately, an improved sequential quadratic programming algorithm and Newton-Raphson method of nonlinear equations was proposed to evaluate the profile error of aspherical parts. Regarding the issue that the design coordinate system failed to coincide with the measurement coordinate system in the detection of measuring instruments, a coordinate transformation matrix was used to eliminate the position error in the measurement coordinate system. Binary nonlinear equation was constructed to represent the projection points of aspheric surface based on its characteristics and Newton-Raphson method was applied to accurately calculate the projection distance. The improved sequential quadratic programming algorithm was adopted to establish error sub-problem solution to solve the computational intractability, and Quasi-Newton method was applied to solve the problem of large-scale unconstrained nonlinear. The simulation and experimental analysis were performed with various aspheric lenses and compared with the methods of least square and entropy function. The experimental results showed that the proposed algorithm effectively improved the data processing efficiency and accuracy when calculating the profile error. © 2023 CIMS. All rights reserved.
引用
收藏
页码:2676 / 2684
页数:8
相关论文
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