Research on Monitor System of Centralized Supply Heat Based on Fuzzy Neural Network Control

摘要：

Based on the features of centralized supply heat system, this paper introduces a controller combined artificial neural networks(ANN) with fuzzy control(FC), By ANNs self-learning, adaptive and parallel processing, we convert fuzzy control rule into the samples of neural networks(NN), and remember these samples by ANN back propagation(BP) algorithm. The simulation indicates that controller has the advantages of fast response, high precision and robust, and it can meet the centralized supply heat system requirement.

作者: SUN Xia Zhijie Wang Xueyi Han Xinzhong Zhang

作者单位: School of Electrical Engineering Shandong University of Science and Technology Shandong Taian, 27100 School of Electrical Engineering Shanghai Dianji University Shanghai, 200240 P.R.China Feicheng Mining Group Baizhuang coal Mining Shandong Taian,271000 P.R.China Taian Power Supply Company Taian Shandong ,271000 P.R.China

会议类型: 国际会议

会议名称: Fourth International Conference on Impulsive and Hybrid Dynamical Systems(ICIHDS 2007)(第四届国际脉冲和混合动力系统学术会议)

会议地点: 南宁

会议语种:英文

在线出版日期: 2007-07-20（万方平台首次上网日期，不代表论文的发表时间）