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Research On Error Separation And Calibration Technology Of Large-scale Flatness Dynamic Measurement Based On 2D PSD

Posted on:2022-03-29Degree:MasterType:Thesis
Country:ChinaCandidate:J J WuFull Text:PDF
GTID:2480306338493254Subject:Mechanical engineering
Abstract/Summary:PDF Full Text Request
The field of large-scale measurement is developing towards high precision and intelligence.The application of dynamic measurement error theory and technology helps to improve the measurement accuracy and reduce the cost of large-scale measurement,and promote its development.Therefore,it is of great significance to study the separation and calibration technology of dynamic measurement error.Based on the application of large-scale and high-precision near-field plane scanning frame,this paper studies how to improve the scanning accuracy of the detector:(1)Based on the background research of the project,master the principle and function of the large-scale near-field scanning frame in the application of radar scattering,use the analogy method,according to the structure and accuracy index of the near-field scanning frame,establish the large-scale and high-precision scanning station experimental model based on two-dimensional PSD.(2)In order to improve the plane accuracy of the scanning detector,based on the theory of dynamic measurement error,firstly,the error term involved in the scanning station work is traced by using the method of dynamic measurement error tracing.The mathematical models of the system error and random error term of the station model are established,and the nonlinear distortion of the PSD photosensitive surface is studied.The compensation algorithm is used to correct the non-linear distortion of the photosensitive surface According to the experimental results,the best linear measurement area of the sensor is obtained.(3)Then,the standard insertion method of dynamic measurement error separation technology is used to separate the station system error and random error term,and the BP neural network is used to establish the non-stationary system error correction model to predict and analyze the random error,and the real-time correction is given through compensation calibration.Finally,the linearity and flatness of the scanning detector are tested.The experimental results show that the compensation effect of the scanning detector is good,and the RMS value of the scanning plane after calibration and compensation is 5.13?m.(4)Through the research of dynamic measurement error separation and calibration technology,model establishment and final experimental verification,it is concluded that the dynamic measurement error theory has high application value in the scanning station,and also has good practical significance in the field of large-scale measurement.This paper provides a reference case for the application of dynamic measurement error theory in large-scale measurement.
Keywords/Search Tags:Large near-field scanning frame, Dynamic measurement error theory, PSD, Standard insertion method, BP neural network
PDF Full Text Request
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