Error Compensation of a NC Machining System Based on a Dynamic Feedback Neural Network

Machining error of a NC machining system is a kind of comprehensive error in dynamically machining process; especially it is of errors with non-linear characteristics. In this paper, we will set up a kind of model of comprehensive errors analysis for a NC machining system and present an error compen...

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Bibliographic Details
Published inApplied Mechanics and Materials Vol. 52-54; pp. 1890 - 1894
Main Authors Sun, Yong, Zeng, Huang Lin, Ren, Xiao Hong, Liu, Li Xin
Format Journal Article
LanguageEnglish
Published Zurich Trans Tech Publications Ltd 28.03.2011
Subjects
Principal Component Analysis (PCA)
Rough Set Theory (RST)
Ant Colony Algorithm (ACA)
Dynamic Feedback Neural Network
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Summary:Machining error of a NC machining system is a kind of comprehensive error in dynamically machining process; especially it is of errors with non-linear characteristics. In this paper, we will set up a kind of model of comprehensive errors analysis for a NC machining system and present an error compensation for high-precision a NC machining system by a dynamic feedback neural network embedded in a NC machine tool. The results obtained shows that this approach can effectively improve compensation precision and real time of error compensation on machine tools.
Bibliography:Selected, peer reviewed papers from 2011 First International Conference on Mechanical Engineering, April 3-4, Phuket, Thailand, 2011
ISBN:9783037850770
3037850779
ISSN:1660-9336
1662-7482
1662-7482
DOI:10.4028/www.scientific.net/AMM.52-54.1890