文章基本信息

标题：Nonlinear Model Predictive Control for the Starting Process of a Free-Piston Linear Generator
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作者：Martin Keller ; Bernhard Jochim ; Dirk Abel 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2018
卷号：51
期号：31
页码：632-639
DOI：10.1016/j.ifacol.2018.10.149
语种：English
出版社：Elsevier
摘要：AbstractFree-piston linear generators (FPLG) attract a lot of attention and are under ongoing investigation due to their fuel efficiency, low emissions and the compact design as generator unit. The main characteristic of FPLGs is the absence of a crankshaft, which poses a major challenge, because the piston moves freely. Hence, the locations of top dead center (TDC) and bottom dead center (BDC), have to be controlled precisely. In this contribution, an approach for modeling and control of a FPLG is presented. The combustion cylinder and the bouncing chamber on the opposite side are described with a physics-based, continuous-time thermodynamic model. For the starting process of the FPLG a nonlinear model predictive controller (NMPC) with multiple shooting discretization is designed for a safe and reliable starting process.
关键词：KeywordsFree-Piston Linear GeneratorEngine ModelingNonlinear Model Predictive ControlMultiple Shooting