文章基本信息

标题：Explicit Dead-Time Compensation in Linear Parameter Varying Model Predictive Control
本地全文：下载
作者：Marcelo M. Morato ; Tito L.M. Santos ; Julio E. Normey-Rico 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2022
卷号：55
期号：16
页码：278-283
DOI：10.1016/j.ifacol.2022.09.037
语种：English
出版社：Elsevier
摘要：AbstractModel Predictive Control (MPC) is able to directly deal with dead-time (DT) phenomena. Yet, implicit delay compensation heavily affects computational aspects of these algorithms, and stability and feasibility analyses become numerically tougher. The Linear Parameter Varying (LPV) framework has been shown suitable to model complex, nonlinear dynamics, with corresponding MPC algorithms being developed over the last few years. Thus, we propose a novel MPC method for DT LPV systems, using a DT-free model. The scheme explicitly accounts for the DT via a compensation loop, thus avoiding augmented state-space models. The algorithms is able to ensure input-to-state stability, recursive feasibility, and robust constraint satisfaction w.r.t. model-mismatches and delay estimation uncertainties. A solar collector benchmark example is used to illustrate the advantages of the method, which is compared against a regular LPV MPC algorithm (with standard implicit DT compensation).
关键词：KeywordsDead-timeModel Predictive ControlLinear Parameter Varying Systems