文章基本信息

标题：A Reduced-order Model for Real-time NMPC of Ethanol Steam Reformers ⁎
本地全文：下载
作者：Pedro Reyero ; Xinwei Yu ; Carlos Ocampo-Martinez 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2021
卷号：54
期号：3
页码：103-108
DOI：10.1016/j.ifacol.2021.08.226
语种：English
出版社：Elsevier
摘要：AbstractOne of the approaches to green energy of interest in recent years is through the use of hydrogen technologies in which the waste product of combustion is water rather than carbon dioxide, nitrous oxides, and other pollutants generated by the burning of hydrocarbon fuels. Ethanol steam reformers is one of the primary technologies with the potential to generate hydrogen efficiently and reliably. This article investigates the design of nonlinear optimal feedback control systems for ethanol steam reformers based on mechanistic models described by a system of nonlinear partial differential-algebraic equations, aka singular/descriptor systems. The mechanistic models are too complicated to simulate in real-time using the standard numerical discretization methods, much less to directly incorporate such models as nonlinear constraints into mechanistic model-based nonlinear model predictive control formulations. This article employs a rather sophisticated multivariate form of the method of characteristics to reformulate the nonlinear constraints into a much simpler form amenable to real-time control implementations.
关键词：KeywordsModeling for control optimizationDescriptor systemsModel reduction of distributed parameter systemsEnergy systemsNonlinear model reductionModel reduction