Nonlinear model predictive control of a hybrid Diesel-Electric marine propulsion plant

Karystinos, Vasileios; Καρυστινός, Βασίλειος

dc.contributor.author	Karystinos, Vasileios	en
dc.contributor.author	Καρυστινός, Βασίλειος	el
dc.date.accessioned	2019-10-03T09:27:15Z
dc.date.available	2019-10-03T09:27:15Z
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/49252
dc.identifier.uri	http://dx.doi.org/10.26240/heal.ntua.16950
dc.rights	Default License
dc.subject	Hybrid propulsion	en
dc.subject	Predictive control	en
dc.subject	Diesel-Electric	en
dc.subject	Battery	en
dc.subject	Moving horizon estimation	en
dc.subject	Nonlinear model predictive control	en
dc.title	Nonlinear model predictive control of a hybrid Diesel-Electric marine propulsion plant	en
heal.type	bachelorThesis
heal.classification	Control	en
heal.language	en
heal.access	free
heal.recordProvider	ntua	el
heal.publicationDate	2019-07-18
heal.abstract	In this thesis, the implementation of nonlinear model predictive control in a hybrid diesel-electric marine power plant is investigated. Initially, modeling procedure of the components of the power plant is been presented. For each component (engine, electric motor/ generator, battery), several models where investigated. The aim is to find models which are accurate and computationally efficient, so that the controller would be able to solve the optimization problem in real time. Moreover, dynamic analytic models where also reviewed in order to set up a reliable simulation for the controller. Nonlinear Model Predictive Control (NMPC) is a sophisticated model based control method which can handle nonlinear multi-variable problems with constraints by solving the optimization problem of minimizing an objective function over a finite horizon. The developed controllers were evaluated regarding the performance with simulations in a virtual hybrid diesel-electric set-up in Simulink. Moreover, the development of an efficient observer for the applied load estimation by implementing a Moving Horizon Estimation (MHE) scheme is also examined. MHE is a technique which approaches the full estimation problem using a finite measurement horizon. Finally, the performance of the developed controllers was experimentally verified on the hybrid propulsion plant HIPPO-2 at LME. The experiments were conducted for various load profiles and the controllers were evaluated regarding the their ability to track the contextually reference and satisfy the predefined constraints.	en
heal.advisorName	Παπαλάμπρου, Γεώργιος	el
heal.committeeMemberName	Κυρτάτος, Νικόλαος	el
heal.committeeMemberName	Κυριακόπουλος, Κωνσταντίνος	el
heal.committeeMemberName	Παπαλάμπρου, Γεώργιος	el
heal.academicPublisher	Εθνικό Μετσόβιο Πολυτεχνείο. Σχολή Ναυπηγών Μηχανολόγων Μηχανικών. Τομέας Ναυτικής Μηχανολογίας	el
heal.academicPublisherID	ntua
heal.numberOfPages	126 σ.
heal.fullTextAvailability	true