计算机集成制造系统 ›› 2021, Vol. 27 ›› Issue (12): 3550-3558.DOI: 10.13196/j.cims.2021.12.016

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基于动态精度评估机制的自适应定位方法

谭高山1,张涛1,张丽艳2,李博3   

  1. 1.安徽工业大学数理科学与工程学院
    2.南京航空航天大学机电学院
    3.河南工程学院计算机学院
  • 出版日期:2021-12-31 发布日期:2021-12-31
  • 基金资助:
    国家自然科学基金资助项目(51575276,61701004)

Adaptive localization method based on dynamic accuracy assessment mechanism

  • Online:2021-12-31 Published:2021-12-31
  • Supported by:
    Project supported by the National Natural Science Foundation,China(No.51575276,61701004).

摘要: 高精度复杂工件的几何精度评估使得复杂曲面定位研究日益迫切。区域制造精度存在差异的复杂工件定位困难,易导致精度评估时作出错误判断。考虑区域精度对定位结果的定量影响,提出一种自适应定位算法,在定位过程中嵌入动态精度评估机制,根据区域预估精度自适应地获取该曲面片在定位中的影响,从而逐步逼近区域精度。利用加权信息阵进行定位约束分析,揭示这种自适应迭代定位策略的作用机理。通过仿真和实测实验,验证了算法的有效性、实用性和优势。所提算法不但可以灵活控制复杂曲面的定位位姿,使结果更加符合精度评估需求,而且求解效率高,对提高复杂曲面定位精度和效率均具有重要意义。

关键词: 加权最小二乘, 复杂曲面, 动态精度评估, 加权信息矩阵, 定位约束分析, 定位算法

Abstract: 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.

Key words: weighted least square, complex surface, dynamic accuracy assessment, weighting information matrix, constraints analysis of localization, localizaiton algorithm

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