Coagulation control fuzzy modeling based on cluster analysis and optimization technique

doi:10.1109/ChiCC.2016.7553687

	Coagulation control fuzzy modeling based on cluster analysis and optimization technique
	Tang, Weiqiang 1,2; Rui, Zhiyuan 2; Jiang, Hongmei 1; Gao, Haiyan 3
	2016-08-26
会议日期	July 27, 2016 - July 29, 2016
会议地点	Chengdu, China
卷号	2016-August
DOI	10.1109/ChiCC.2016.7553687
页码	2154-2159
英文摘要	A novel model of coagulant dosing control is proposed based on a fuzzy logic approach. The actual process data of a water treatment plant are first classified by using fuzzy c-means clustering method to obtain the class center. In combination with k-nearest neighbor algorithm, the premise parameter of Takagi-Sugeno fuzzy model can be generated. Then, the recursive least square method is used to determine its consequent parameter. A neural network is finally employed to optimize parameters of the initial fuzzy model via back propagation algorithm. The modeling accuracy caused by the clustering number is discussed. The proposed model is easy to construct and has good generalization ability. Simulation results show the established model has high fitting accuracy and meets requirements of coagulation control. © 2016 TCCT.
会议录	Chinese Control Conference, CCC
会议录出版者	IEEE Computer Society
语种	英语
ISSN号	19341768
内容类型	会议论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/117408]
专题	电气工程与信息工程学院兰州理工大学
作者单位	1.College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou; 730050, China; 2.School of Mechanical and Electronical Engineering, Lanzhou University of Technology, Lanzhou; 730050, China; 3.High-voltage Key Laboratory of Fujian Province, Xiamen University of Technology, Xiamen; 361024, China
推荐引用方式 GB/T 7714	Tang, Weiqiang,Rui, Zhiyuan,Jiang, Hongmei,et al. Coagulation control fuzzy modeling based on cluster analysis and optimization technique[C]. 见:. Chengdu, China. July 27, 2016 - July 29, 2016.