Temperature Controller of Heating Furnace Based on Fuzzy Neural Network Technology
| Autor: | Hui Ying Tang, Ying Liu, Zhi Gao, De Quan Shi, Gui Li Gao |
|---|---|
| Rok vydání: | 2013 |
| Předmět: |
Adaptive neuro fuzzy inference system
Engineering Temperature control Artificial neural network Neuro-fuzzy business.industry General Engineering Process (computing) Control engineering Fuzzy control system Fuzzy logic ComputingMethodologies_PATTERNRECOGNITION Control theory ComputingMethodologies_GENERAL business |
| Zdroj: | Advanced Materials Research. 748:820-825 |
| ISSN: | 1662-8985 |
| DOI: | 10.4028/www.scientific.net/amr.748.820 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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