System of Annealing Furnace Temperature Control Based on Neural Network

Abstract:

In the thesis the adaptive ability of neural network strong and good nonlinear approximation ability, A controller is designed based on BP neural network by the adaptive ability of neural network strong and good nonlinear approximation ability in this paper, this method changed defect of the usual PID controller that parameters of annealing furnace condition are not easy set and the ability to adapt is poor. The new method is not only has good stability, but also has high control precision and strong adaptability.

• Periodical: Advanced Materials Research (Volumes 1044-1045)
• Pages: 881-884
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.1044-1045.881
• Online since: October 2014
• Authors: Xin Wang*, He Pan
• Keywords: Annealing Furnace, Neural Network Control, PID Control, Temperature Control

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