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

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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 http://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

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Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ελλάδα Except where otherwise noted, this item's license is described as Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ελλάδα