Temperature Controller of Heating Furnace Based on Fuzzy Neural Network Technology

摘要：

In this study, to solve the problem that heating furnace has the disadvantage of nonlinearity, 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.

关键词： neural network fuzzy control heating furnace temperature control

作者: SHI Dequan GAO Guili LIU Ying TANG Huiying GAO Zhi

作者单位: Department of Material Science and Engineering Harbin University of Science & Technology Harbin, P. Heilongjiang Metrology Institute of Measurement and Verification Harbin, P. R. China

会议类型: 国际会议

会议名称: 2011 3rd International Conference on Computer and Automation Engineering(ICCAE 2011)(2011年第三届IEEE计算机与自动化工程国际会议)

会议地点: 重庆

会议语种:英文

页码: 275-278

在线出版日期: 2011-01-21（万方平台首次上网日期，不代表论文的发表时间）