The FNN Quilting Process Deformation Prediction Model

Abstract:

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It is easy to have deformation that non-rigid materials is on high-speed processing, so this paper introduces the fuzzy neural networks combine with computer vision measurement technology to control this process. Based on the traditional PID control, increasing a fuzzy neural network predictor for pre-processing of trajectory compensation. Established a fuzzy neural network deformation prediction model of the single needle quilting, and simulated. Experimental and simulation results show that: error compensation which based on fuzzy neural network, have a good real-time, allow fast and accurate automated processing of quilting.

Info:

Periodical:

Edited by:

Shengyi Li, Yingchun Liu, Rongbo Zhu, Hongguang Li, Wensi Ding

Pages:

306-310

DOI:

10.4028/www.scientific.net/AMM.34-35.306

Citation:

L. X. Tang et al., "The FNN Quilting Process Deformation Prediction Model", Applied Mechanics and Materials, Vols. 34-35, pp. 306-310, 2010

Online since:

October 2010

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Price:

$35.00

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