Dynamic Intelligent Prediction Control in Slender Cylindrical Grinding

Abstract:

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A dynamic intelligent prediction control system is built in slender cylindrical grinding. Elman network is used in the dynamic size prediction control model, and the first and the second derivative of the actual amount removed from the workpiece are added into the network input, which can greatly improve the size dynamic prediction accuracy. Moreover, a surface roughness equation with vibration data is proposed. Based the equation, the surface roughness dynamic fuzzy neural network prediction subsystem is built. Experiment verifies that the developed prediction control system is feasible and has high prediction and control accuracy.

Info:

Periodical:

Key Engineering Materials (Volumes 359-360)

Edited by:

Jiuhua Xu, Xipeng Xu, Guangqi Cai and Renke Kang

Pages:

189-193

DOI:

10.4028/www.scientific.net/KEM.359-360.189

Citation:

N. Ding et al., "Dynamic Intelligent Prediction Control in Slender Cylindrical Grinding ", Key Engineering Materials, Vols. 359-360, pp. 189-193, 2008

Online since:

November 2007

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Price:

$35.00

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