文章基本信息

标题：Explicit Model Predictive Control for a Highly Interacting System
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作者：Hari S. Ganesh ; Styliani Avraamidou ; Iosif Pappas 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2022
卷号：55
期号：1
页码：247-252
DOI：10.1016/j.ifacol.2022.04.041
语种：English
出版社：Elsevier
摘要：AbstractExplicit Model Predictive Control (MPC) of highly interacting systems using multiparametric programming is challenging as the offline solution to the Optimal Control Problem (OCP) typically entails calculation of a large number of regions of the uncertainty space. This can result in the case in which the point location problem is computationally more expensive than solving the OCP online. Hence, in this paper, with an aim to reduce computational costs of explicit MPC, we reformulate the OCP and study the computational and control performance of the reformulated explicit MPC compared to the conventional explicit MPC. As a case study, we consider a highly interacting quadruple tank process. The closed-loop simulation results show that between conventional MPC and reformulated MPC, in the online case, the total computational times are comparable, whereas in the explicit MPC case, the reformulation results in significant reduction in the total computational time by 44%.
关键词：KeywordsModel Predictive ControlDistributed ControlInteracting SystemMultiparametric ProgrammingQuadruple Tank Process