动态测量误差灰色预测建模辨识参数修正方法  

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

作　　者：龚蓬[1] 费业泰[1] 

机构地区：[1]合肥工业大学精密仪器系,安徽合肥230009

出　　处：《应用科学学报》2002年第2期207-210,共4页Journal of Applied Sciences

基　　金：国家自然科学基金资助项目 (5 95 75 0 81)

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 .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.

关 键 词：动态测量误差 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 灰色系统理论 

分 类 号：TH701[机械工程—仪器科学与技术] N941.5[机械工程—精密仪器及机械]