Predictive control of a hybrid diesel-electric marine propulsion plant

Πλανάκης, Νικόλαος; Planakis, Nikolaos

dc.contributor.author	Πλανάκης, Νικόλαος	el
dc.contributor.author	Planakis, Nikolaos	en
dc.date.accessioned	2016-12-19T09:18:58Z
dc.date.available	2016-12-19T09:18:58Z
dc.date.issued	2016-12-19
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/44155
dc.identifier.uri	http://dx.doi.org/10.26240/heal.ntua.14037
dc.rights	Default License
dc.subject	Predictive control	en
dc.subject	Hybrid systems	el
dc.subject	Marine diesel-electric propulsion	el
dc.subject	Optimal control	el
dc.subject	MPC	el
dc.title	Predictive control of a hybrid diesel-electric marine propulsion plant	en
heal.type	bachelorThesis
heal.classification	Marine diesel motors	en
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh85081147
heal.language	en
heal.access	free
heal.recordProvider	ntua	el
heal.publicationDate	2016-11-03
heal.abstract	In this thesis, the feasibility of using model predictive control in a hybrid diesel-electric marine powerplant is investigated. Initially, the modeling procedure is divided into two parts. The aim of rst part is to nd linear models using datasets with experimental data at the nominal operation point of the hybrid powertrain and investigate the adoption of di erent signals considered as system disturbances, as the controller is capable to cope with multi-variable systems. Second part aims to the development of a non-linear multivariable model which can describe the hybrid powertrain behavior over a wider range of operation. Finally, a output feedback manipulation is suggested in order to enable a better prediction of the future model outputs. Model Predictive Controller (MPC) is a model-based controller which tries to compute the optimal sequence of the control moves in order to succeed the optimal control performance of a plant over a nite prediction horizon. MPC is capable of tackling multivariable processes, satisfy input and output system constraints, deal with long time delays and utilize plant response to measured and unmeasured disturbances knowledge. Performance evaluation of the designed MPC controllers was rstly conducted through step response simulation against each controller's internal model, in order to ne-tune its parameters and ensure the system stability. As a next step, the controllers were evaluated through simulation using open-loop experimental data and the non-linear diesel engine model, using also the electric motor system model for the total power split determination. Last, the performance of the various MPC controllers was experimentally veri ed on the hybrid propulsion powertrain at LME. MPC response was tested at various load pro les, including alternating and propeller load, against static and dynamic reference tracking, evaluating disturbance rejection and e ciency in operating the plant within the desired exhaust emission and fuel consumption limits during closed-loop control.	en
heal.advisorName	Παπαλάμπρου, Γεώργιος	en
heal.committeeMemberName	Κυρτάτος, Νικόλαος	en
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	97 σ.
heal.fullTextAvailability	true