Adaptive localization method based on dynamic accuracy assessment mechanism

被引：0
|
作者：
Tan G. [1 ]
Zhang T. [1 ]
Zhang L. [2 ]
Li B. [3 ]
机构：
[1] Department of Mathematics and Physics, Anhui University of Technology, Ma'anshan
[2] Department of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing
[3] School of Computer Science, Henan University of Engineering, Zhengzhou
来源：
Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS | 2021年 / 27卷 / 12期
基金：
中国国家自然科学基金;
关键词：
Complex surface; Constraints analysis of localization; Dynamic accuracy assessment; Localizaiton algorithm; Weighted least square; Weighting information matrix;
D O I：
10.13196/j.cims.2021.12.016
中图分类号：
学科分类号：
摘要：
It is increasingly urgent for researching localization algorithms to meet the geometric precision evaluation of high precision manufactured parts.Accuracy requirements on different surfaces are often different in the inspection of complex surfaces, if the localization between the measurement dataset and the nominal surface proceeds ignoring the difference, the error judgment for precision evaluation will make.Considering the quantitative influence of regional accuracy on localization result, a new adaptive localization method was proposed.A dynamic accuracy assessment mechanism was embedded in the localization process. The effect of local surface with different accuracy on localization was expressed by local accuracy prediction.Appropriate weighting parameters were iteratively in real time given to these surfaces.Local accuracy was approximated adaptively.Localization constraints were analyzed by the weighted information matrix and the working mechanism of the proposed localization algorithm was revealed. The experiments on a simulated cube and a real impeller verify the validity, practicability and advantage of the proposed algorithm.It had great significance for the precision and efficiency of the localization for complex surface with a large number of measured data. © 2021, Editorial Department of CIMS. All right reserved.
引用
收藏
页码：3550 / 3558
页数：8
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