应用科学学报 ›› 2002, Vol. 20 ›› Issue (2): 207-210.

• 论文 • 上一篇    下一篇

动态测量误差灰色预测建模辨识参数修正方法

龚蓬, 费业泰   

  1. 合肥工业大学精密仪器系, 安徽合肥 230009
  • 收稿日期:2001-02-27 修回日期:2001-09-07 出版日期:2002-06-30 发布日期:2002-06-30
  • 作者简介:龚蓬(1953-),女,江苏海门人,副教授,博士;费业泰(1934-),男,安徽肥东人,教授,博导.
  • 基金资助:
    国家自然科学基金资助项目(59575081)

A Method for Correcting the Identification Parameters of Grey Prediction Modeling of Dynamic Measurement Errors

GONG Peng, FEI Ye-tai   

  1. Department of Precision Instrument, Hefei University of Technology, Hefei 230009, China
  • Received:2001-02-27 Revised:2001-09-07 Online:2002-06-30 Published:2002-06-30

摘要: 基于现代误差修正技术,研究灰色系统理论建立的动态测量误差短期预测模型,以进行误差修正,提高动态测量精度.文章重点分析了所给模型的参数辨识与修正问题,并以长光栅测量系统为对象,对其得到的动态测量误差进行实践,提出在预测过程中对影响测量结果的模型辨识参数修正的方法,从而提高测量模型的精度.

关键词: 现代误差修正技术, 误差预测灰色模型, 模型辨识参数修正, 组合模型

Abstract: In this paper, on the basis of modern error-correction technology, the grey model based on the grey system theory is studied as a short-term predicting model of dynamic measurement errors in order to perform error-correction and improve the accuracy of dynamic measurement. Here, the identification and correction of the parameters of the model are analyzed. Taking the example of long gating measuring system and discussing its dynamic measuring errors, a method is developed for-correcting the model's identification parameters which affect the measurement results during predicting. Therefore, the measurement accuracy is improved.

Key words: modern error-correction technology, error prediction grey model, correction of model identification parameters, compound model

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