Kalman filter design for estimation and filtering of main
parameters in a marine hybrid diesel-electric propulsion
powertrain

Chantzaras, Alexandros; Χαντζάρας, Αλέξανδρος

dc.contributor.author	Chantzaras, Alexandros	en
dc.contributor.author	Χαντζάρας, Αλέξανδρος	el
dc.date.accessioned	2017-09-15T12:07:11Z
dc.date.available	2017-09-15T12:07:11Z
dc.date.issued	2017-09-15
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/45620
dc.identifier.uri	http://dx.doi.org/10.26240/heal.ntua.14437
dc.rights	Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ελλάδα	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/gr/	*
dc.subject	Kalman filter	en
dc.subject	Model design	en
dc.subject	Identification	en
dc.subject	Closed-loop model	en
dc.subject	State feedback	en
dc.subject	DIscrete fourier transform (DFT)	en
dc.subject	Φίλτρο κάλμαν	el
dc.subject	Σύστημα κλειστού βρόχου	el
dc.subject	Διακριτός μετασχηματισμός φουριέ	el
dc.subject	Ανατροφοδότηση διανυσμάτων κατάστασης	el
dc.subject	Σχεδιασμός μοντέλου χώρου διανυσμάτων κατάστασης	el
dc.title	Kalman filter design for estimation and filtering of main parameters in a marine hybrid diesel-electric propulsion powertrain	en
heal.type	bachelorThesis
heal.classification	Ναυτική μηχανολογία	el
heal.classificationURI	http://data.seab.gr/concepts/3d257f31491bff09371cddeac5c6626dc154db39
heal.language	en
heal.access	free
heal.recordProvider	ntua	el
heal.publicationDate	2017-07-14
heal.abstract	In this thesis, the feasibility of using state space model design with Kalman Filter for the estimation of engine responses and exhaust emissions, using as inputs parameters like engine speed, manifold air pressure and lambda values, has been investigated. The modelling procedure is divided into three parts. The aim of first part is to find linear models using datasets with experimental data from a marine diesel propulsion engine at the hybrid diesel-electric testbed at LME (HIPPO-1). Second part aims at the configuration of the linear multi-variable models which can describe the engine behaviour, through a feedback manipulation, so that the models are improved in terms of overshooting and damping characteristics. Finally, the implementation of Kalman Filter is introduced, so as to reduce noise effects, which corrupt the signals in real-life applications. All the models obtained, manipulated or not, have been validated with data from two sets of experiments: (a) alternating load (torque), representing a generator on-board a ship with constant speed, and (b) in propeller loading operation, with alternating speed and torque, which resembles a marine diesel engine used for ship propulsion. The performance validation of the proposed models' structures and the operation of Kalman Filter with experimental results, showed efficient prediction and responsiveness, since they followed the respective reference signal trajectories in a satisfactory manner. Furthermore, the concept presented in this work, could be implemented as an alternative to look-up tables (maps) from experimental data, which are already in use in the control system of the hybrid diesel-electric testbed at LME.	en
heal.advisorName	Παπαλάμπρου, Γεώργιος	en
heal.committeeMemberName	Κυρτάτος, Νικόλαος	en
heal.committeeMemberName	Κυριακόπουλος, Κωνσταντίνος	en
heal.academicPublisher	Εθνικό Μετσόβιο Πολυτεχνείο. Σχολή Ναυπηγών Μηχανολόγων Μηχανικών. Τομέας Ναυτικής Μηχανολογίας. Εργαστήριο Ναυτικής Μηχανολογίας	el
heal.academicPublisherID	ntua
heal.numberOfPages	114 σ.	el
heal.fullTextAvailability	true