文章基本信息

标题：Solution Techniques for Multi-Layer MPC-Based Control Strategies
本地全文：下载
作者：Juraj Holaza ; Martin Klaučo ; Michal Kvasnica 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2017
卷号：50
期号：1
页码：15940-15945
DOI：10.1016/j.ifacol.2017.08.1746
语种：English
出版社：Elsevier
摘要：AbstractWe show how to design and solve, in a computationally tractable fashion, optimization-based reference governors for systems where multiple inner loops are closed by separate model predictive control (MPC) strategies. These individual controllers, however, do not have the knowledge of higher-level coupling constraints and therefore require coordination. We show that such a coordination can be achieved by formulating and solving a suitable bilevel optimization problem that optimizes the references for the inner controllers. We review an approach to deal with such problems, which relies on the Karush-Kuhn-Tucker optimality conditions. The presented approach is firstly commented, with hints to enhance its practicality, and then applied to an illustrative example.
关键词：KeywordsModel predictive controlreference governorsmixed-integer optimizationbilevel optimization