标题:Identification of first-order plus dead-time model from less step response data
作者:Luo, Yunhui ;Cai, Wenjian ;Liu, Hongbo ;Song, Ruifu
作者机构:[Luo, Yunhui ] School of Light Chemistry Engineering, Qilu University of Technology, Jinan; 250353, China;[Liu, Hongbo ] School of Control Science and 更多
会议名称:9th IEEE Conference on Industrial Electronics and Applications, ICIEA 2014
会议日期:9 June 2014 through 11 June 2014
来源:Proceedings of the 2014 9th IEEE Conference on Industrial Electronics and Applications, ICIEA 2014
出版年:2014
页码:1410-1415
DOI:10.1109/ICIEA.2014.6931389
关键词:B-spline series; first-order plus dead-time model (FOPDT); process identification; step response
摘要:This study presents an improved method for first-order plus dead-time (FOPDT) model identification from less step response data. Firstly, B-spline series expansions are used to approximate step responses, providing effective interpolation values for modeling computation. Then, to enhance modeling accuracy, a least-squares method with a regressive compensation scheme is proposed, which adaptively adjusts error weight coefficients to minimize the response deviation between identified model and actual process. The proposed identification method is not only suitable for cases of less sampling data, but also for those of non-uniform sampling data (where most existing methods of transfer function model identification cannot be applied directly). Simulation results illustrate the effectiveness of the proposed approach. © 2014 IEEE.
收录类别:EI;SCOPUS
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84912119353&doi=10.1109%2fICIEA.2014.6931389&partnerID=40&md5=6f8161b21528533fc2c525004235ef24
TOP