Temperature Controller of Heating Furnace Based on Fuzzy Neural Network Technology

Abstract:

In this study, to solve the problem that heating furnace has the disadvantage of non-linearity, time variant and large delay, a fuzzy neural network controller has been designed according to the combination of fuzzy control and neural networks. In this controller, not only can the reasoning process of neural network be described by the fuzzy rules, but also the fuzzy rules can be dynamically adjusted by the neural network. In addition, the learning algorithm of the fuzzy neural network controller is studied. Simulation results show that the fuzzy neural network controller has good regulating performance and it can meet the needs of heating furnace during industrial production.

• Periodical: Advanced Materials Research (Volume 748)
• Pages: 820-825
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.748.820
• Online since: August 2013
• Authors: De Quan Shi, Gui Li Gao, Ying Liu, Hui Ying Tang, Zhi Gao
• Keywords: Fuzzy Control, Heating Furnace, Neural Network (NN), Temperature Control

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