The Neural Network Control Algorithm Research of Single Crystal Furnace Temperature System

Xin  Song; Ming Yu Li; Li  Li; Chao  Yang

doi:10.4028/www.scientific.net/AMR.765-767.789

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 765-767The Neural Network Control Algorithm Research of...

The Neural Network Control Algorithm Research of Single Crystal Furnace Temperature System

Abstract:

Straight pull single crystal furnaces temperature control system has problem of the long time lag and nonlinearity, so the precise mathematic mode that is hard to build. Advanced control strategies show strong advantages for resolving these problems. This paper use artificial neural network modeling approach to establish single crystal furnace temperatures neural network control BP structure model, use adaptive method to control the temperature of the single crystal furnace.

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Periodical:

Advanced Materials Research (Volumes 765-767)

Pages:

789-792

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.765-767.789

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Online since:

September 2013

Authors:

Xin Song, Ming Yu Li, Li Li, Chao Yang

Keywords:

Monocrystalline, Neural Network (NN), PID

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References

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