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Injection Speed Control of Precision Injection Molding Based on CMAC Neural Network

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Abstract:

Injection speed is one of the most important parameters during precision injection molding. The basic theory of CMAC neural network is introduced in this paper. The compound control algorithm based on CMAC and PID is applied to injection speed control of precision injection molding. The simulation shows the compound control algorithm has high control accuracy and excellent control result.

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Periodical:

Applied Mechanics and Materials (Volume 624)

Pages:

444-448

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.624.444

Citation:

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Online since:

August 2014

Authors:

Kai Yuan Chen*, Meng Xue Yan, Ying Wang, Nan Qiao Zhou

Keywords:

CMAC, Injection Speed, Neural Network (NN), PID Control

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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References

[1] Y.G. Peng, W. Wei: J Polym. Eng. 31(2011), 45-52.

Google Scholar

[2] K. Cai, J. Ying, Z.C. Chen and S. Wang: China Mech. Eng. 22(2011), 2986-2989.

Google Scholar

[3] Y. Xue, S. Wang: J Shanghai Uni. Elec. Pow. 28(2012), 396-399.

Google Scholar

[4] L. Wang, D.Q. Wang and E.Y. Wang: Control Eng. China 18(2011), 188-190.

Google Scholar

[5] W.W. Yu, J. Yan, C. Sabourin and K. Madani: J Northwest. Polytech. Uni. 26(2008), 732-737.

Google Scholar

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