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《China Mechanical Engineering(中国机械工程)》 2011-01
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Error Compensation for Machine Tools Based on Integrated Intelligent Computation

Zeng Huanglin Sun Yong Chen Shunling Sichuan University of Science and Engineering,Zigong,Sichuan,643000  
This paper is a study of error compensation for machine tools based on integrated intelligent computation.The primary focus was on integrated intelligent computation approach to develop a BP neural network embed in a digital control system of a machine tool.Data compression and feature extraction was realized by way of application of RST and principal component analysis,which reduced BP network input dimension and reduced network training time.Taking advantages of ant colony algorithm,a global optimum of error compensation for machine tools was obtained by a BP network convergence.Positioning error compensation capabilities were tested using industrial standard equipment and procedures.The results obtained show that this approach can improve compensation precision and real time of error compensation for machine tools effectively.
【Fund】: 国家科技重大专项(2009ZX04002-013);; 四川省教育厅基础应用研究课题(2008RZ003)
【CateGory Index】: TG659
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