Dynamic Soft Sensor Modeling Based on State Detection and Impulses Response Template

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	Dynamic Soft Sensor Modeling Based on State Detection and Impulses Response Template
	Fan, Zhi; Cao, Jie; Wei, Yujie
	2014
关键词	Soft Sensor Melt Mass Flow Rate State Detection Impulses Response Template Particle Swarm Optimization
页码	4031-4037
英文摘要	Accurate and reliable prediction of melt mass flow rate is crucial in polypropylene production. In order to establish an accurate prediction model, a process state detection method and a novel dynamic modeling method is proposed, and the model parameters are indentified by improved swarm optimization algorithm. A polypropylene product melt mass flow rate soft sensor model is established based on process state detection and impulses response template. According to the research on the data from real plant, the experiments demonstrate that even under dynamic state, the proposed approach can improve the prediction accuracy, and the soft sensor model has good tracking ability and meets the requirement of on-line optimal control.
会议录	26TH CHINESE CONTROL AND DECISION CONFERENCE (2014 CCDC)
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:000343577704042
内容类型	会议论文
源URL	[http://119.78.100.223/handle/2XXMBERH/36594]
专题	兰州理工大学电气工程与信息工程学院
通讯作者	Fan, Zhi
作者单位	Lanzhou Univ Technol, Coll Elect & Informat Engn, Lanzhou 730050, Peoples R China
推荐引用方式 GB/T 7714	Fan, Zhi,Cao, Jie,Wei, Yujie. Dynamic Soft Sensor Modeling Based on State Detection and Impulses Response Template[C]. 见:.