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《Computer Measurement & Control》 2015-10
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Prediction and Compensation of Workpiece Size Non-Contact Measurement by Gray Markov

Wu Liming;Chen Jiayuan;Cai Wen;Zhong Yongxi;He Ruijin;School of Information Engineering,Guangdong Univ.of Tech.;  
To solve the prediction problem of non-contact workpiece size measurement,this paper established a prediction model based on gray Markov theoretical system to predict the measurement error after 3D reconstruction measurement.The change relationships of the error measurement are expressed from the testing sample,so the predicting samples can be obtained through gray Markov,and a comparative analysis will be done between prediction samples and testing samples.The experimental results indicated that with the increasing of measurement number,the trend of the measurement error is slightly increased and the volatility situation is similar to the testing samples with the similarity 3.3%.Gray Markov positioning error prediction and compensation can effectively improve the accuracy of non-contact workpiece size measurement,and to provide accurate input parameters for subsequent offset compensation controller.
【Fund】: 广州市科技计划重点项目(20130701)
【CateGory Index】: TP391.41
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