001021904 001__ 1021904
001021904 005__ 20240712112912.0
001021904 0247_ $$2doi$$a10.48550/ARXIV.2309.05386
001021904 0247_ $$2datacite_doi$$a10.34734/FZJ-2024-01052
001021904 037__ $$aFZJ-2024-01052
001021904 1001_ $$0P:(DE-HGF)0$$aSchulze, Jan C.$$b0
001021904 245__ $$aData-Driven Model Reduction and Nonlinear Model Predictive Control of an Air Separation Unit by Applied Koopman Theory
001021904 260__ $$barXiv$$c2023
001021904 3367_ $$0PUB:(DE-HGF)25$$2PUB:(DE-HGF)$$aPreprint$$bpreprint$$mpreprint$$s1706624666_2473
001021904 3367_ $$2ORCID$$aWORKING_PAPER
001021904 3367_ $$028$$2EndNote$$aElectronic Article
001021904 3367_ $$2DRIVER$$apreprint
001021904 3367_ $$2BibTeX$$aARTICLE
001021904 3367_ $$2DataCite$$aOutput Types/Working Paper
001021904 520__ $$aAchieving real-time capability is an essential prerequisite for the industrial implementation of nonlinear model predictive control (NMPC). Data-driven model reduction offers a way to obtain low-order control models from complex digital twins. In particular, data-driven approaches require little expert knowledge of the particular process and its model, and provide reduced models of a well-defined generic structure. Herein, we apply our recently proposed data-driven reduction strategy based on Koopman theory [Schulze et al. (2022), Comput. Chem. Eng.] to generate a low-order control model of an air separation unit (ASU). The reduced Koopman model combines autoencoders and linear latent dynamics and is constructed using machine learning. Further, we present an NMPC implementation that uses derivative computation tailored to the fixed block structure of reduced Koopman models. Our reduction approach with tailored NMPC implementation enables real-time NMPC of an ASU at an average CPU time decrease by 98 %.
001021904 536__ $$0G:(DE-HGF)POF4-1121$$a1121 - Digitalization and Systems Technology for Flexibility Solutions (POF4-112)$$cPOF4-112$$fPOF IV$$x0
001021904 588__ $$aDataset connected to DataCite
001021904 650_7 $$2Other$$aSystems and Control (eess.SY)
001021904 650_7 $$2Other$$aMachine Learning (cs.LG)
001021904 650_7 $$2Other$$aFOS: Electrical engineering, electronic engineering, information engineering
001021904 650_7 $$2Other$$aFOS: Computer and information sciences
001021904 7001_ $$0P:(DE-Juel1)180221$$aDoncevic, Danimir$$b1$$ufzj
001021904 7001_ $$0P:(DE-HGF)0$$aErwes, Nils$$b2
001021904 7001_ $$0P:(DE-Juel1)172025$$aMitsos, Alexander$$b3$$eCorresponding author$$ufzj
001021904 773__ $$a10.48550/ARXIV.2309.05386
001021904 8564_ $$uhttps://juser.fz-juelich.de/record/1021904/files/2309.05386.pdf$$yOpenAccess
001021904 8564_ $$uhttps://juser.fz-juelich.de/record/1021904/files/2309.05386.gif?subformat=icon$$xicon$$yOpenAccess
001021904 8564_ $$uhttps://juser.fz-juelich.de/record/1021904/files/2309.05386.jpg?subformat=icon-1440$$xicon-1440$$yOpenAccess
001021904 8564_ $$uhttps://juser.fz-juelich.de/record/1021904/files/2309.05386.jpg?subformat=icon-180$$xicon-180$$yOpenAccess
001021904 8564_ $$uhttps://juser.fz-juelich.de/record/1021904/files/2309.05386.jpg?subformat=icon-640$$xicon-640$$yOpenAccess
001021904 909CO $$ooai:juser.fz-juelich.de:1021904$$pdnbdelivery$$pdriver$$pVDB$$popen_access$$popenaire
001021904 9101_ $$0I:(DE-588b)36225-6$$6P:(DE-HGF)0$$aRWTH Aachen$$b0$$kRWTH
001021904 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)180221$$aForschungszentrum Jülich$$b1$$kFZJ
001021904 9101_ $$0I:(DE-588b)36225-6$$6P:(DE-Juel1)180221$$aRWTH Aachen$$b1$$kRWTH
001021904 9101_ $$0I:(DE-588b)36225-6$$6P:(DE-HGF)0$$aRWTH Aachen$$b2$$kRWTH
001021904 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)172025$$aForschungszentrum Jülich$$b3$$kFZJ
001021904 9101_ $$0I:(DE-588b)36225-6$$6P:(DE-Juel1)172025$$aRWTH Aachen$$b3$$kRWTH
001021904 9131_ $$0G:(DE-HGF)POF4-112$$1G:(DE-HGF)POF4-110$$2G:(DE-HGF)POF4-100$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-1121$$aDE-HGF$$bForschungsbereich Energie$$lEnergiesystemdesign (ESD)$$vDigitalisierung und Systemtechnik$$x0
001021904 9141_ $$y2023
001021904 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess
001021904 920__ $$lyes
001021904 9201_ $$0I:(DE-Juel1)IEK-10-20170217$$kIEK-10$$lModellierung von Energiesystemen$$x0
001021904 9801_ $$aFullTexts
001021904 980__ $$apreprint
001021904 980__ $$aVDB
001021904 980__ $$aUNRESTRICTED
001021904 980__ $$aI:(DE-Juel1)IEK-10-20170217
001021904 981__ $$aI:(DE-Juel1)ICE-1-20170217