The Neural Network Control Algorithm Research of Straight Pull Single Crystal Furnace

Ming Yu Li; Hua Meng; Jie Zhao; Zeng Tao  Xue; Ying  Zhang

doi:10.4028/www.scientific.net/AMR.756-759.271

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 756-759The Neural Network Control Algorithm Research of...

The Neural Network Control Algorithm Research of Straight Pull Single Crystal Furnace

Abstract:

In straight pull single crystal furnaces pulling system, Traditional PID controllers parameter cant meet the changes of the DC motor system. In view of this defect that the traditional PID controller parameter can not turn in a timely manner with the DC motor speed change. This paper used a new control method PID neural network to the monocrystalline pulling speed control system and established PID neural network pulling system, at any time to adjust to the optimal PID parameters, to achieve an adaptive control effect and improve the quality of monocrystalline silicon.

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Periodical:

Advanced Materials Research (Volumes 756-759)

Pages:

271-274

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.756-759.271

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Online since:

September 2013

Authors:

Ming Yu Li, Hua Meng, Jie Zhao, Zeng Tao Xue, Ying Zhang

Keywords:

Monocrystalline, Neural Network (NN), PID

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References

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