Coagulation Control Fuzzy Modeling based on Cluster Analysis and Optimization Technique

	Coagulation Control Fuzzy Modeling based on Cluster Analysis and Optimization Technique
	Tang Weiqiang 1,3; Rui Zhiyuan 3; Jiang Hongmei 1; Gao Haiyan 2
	2016
关键词	Coagulation control Takagi-Sugeno fuzzy model fuzzy c-means clustering neural network least square method
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.
会议录	PROCEEDINGS OF THE 35TH CHINESE CONTROL CONFERENCE 2016
会议录出版者	IEEE
会议录出版地	345 E 47TH ST, NEW YORK, NY 10017 USA
语种	英语
WOS研究方向	Automation & Control Systems
WOS记录号	WOS:000388809502099
内容类型	会议论文
源URL	[http://119.78.100.223/handle/2XXMBERH/36411]
专题	电气工程与信息工程学院
通讯作者	Tang Weiqiang
作者单位	1.Lanzhou Univ Technol, Coll Elect & Informat Engn, Lanzhou 730050, Peoples R China 2.Xiamen Univ Technol, High Voltage Key Lab Fujian Prov, Xiamen 361024, Peoples R China 3.Lanzhou Univ Technol, Sch Mech & Elect Engn, Lanzhou 730050, Peoples R 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:.