文章基本信息

标题：Controller Design and Sparse Measurement Selection in Self-optimizing control
本地全文：下载
作者：Jonatan Ralf Axel Klemets ; Morten Hovd
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2018
卷号：51
期号：18
页码：458-463
DOI：10.1016/j.ifacol.2018.09.382
语种：English
出版社：Elsevier
摘要：AbstractSelf-optimizing control focuses on minimizing loss for processes in the presence of disturbances by holding selected controlled variables at constant set-points. A measurement combination can be found, using the Null-space method, which further reduces the loss. Since self-optimizing control focuses on the steady-state operation, little attention has been put on the dynamic performance when selecting measurement combinations. In this work, an iterative LMI approach is combined with the sparsity promoting weightedl1-norm, to find a measurement subset together with PI controllers for the Null-space method. The measurement combination and the controllers are designed such that, the dynamic response is improved when the process is facing disturbances. The proposed method is illustrated on a Petlyuk column case study.
关键词：KeywordsSelf-optimizing controlStatic output feedbackLMIPetlyuk distillation column