Model Parameter Identification of a Coupled Industrial Tank System Based on A Wavelet Neural Network

摘要：

Liquid tank systems play important role in industrial application such as in food processing,beverage,dairy,filtration,effluent treatment,pharmaceutical industry,water purification system,industrial chemical processing and spray coating.In this paper describes the modeling process and parameters identification of the coupled industrial tank system based on WNN algorithm.Second transfer function for the LTS is suggested at first.In the investigated coupled industrial tank system,measurement was performed to obtain step response used for the identification of the parameters.The simulation results show good accuracy of proposed method.The results show that the obtained model and its parameters are good enough to represent the coupled industrial tank system

关键词： WNN coupled industrial parameter identification tank system

作者: Allam Maalla Chen Wei Mohammed H.Hafiz

作者单位: School of Information Engineering,Wuhan University of Technology,Wuhan,Hubei,430070,China Department of Production and Metallurgy Engineering,University of Technology Baghdad,Iraq

会议类型: 国际会议

会议名称: 2008年国际电子商务、工程及科学领域的分布式计算和应用学术研讨会(2008 International Symposium on Distributed Computing and Applications for Business Engineering and Science)

会议地点: 大连

会议语种:英文

页码: 1251-1254

在线出版日期: 2008-07-27（万方平台首次上网日期，不代表论文的发表时间）