dc.contributor.author | Håland, David | |
dc.date.accessioned | 2017-09-13T07:30:14Z | |
dc.date.available | 2017-09-13T07:30:14Z | |
dc.date.issued | 2017 | |
dc.identifier.uri | http://hdl.handle.net/11250/2454405 | |
dc.description | Master's thesis Renewable Energy ENE500 - University of Agder 2017 | nb_NO |
dc.description.abstract | Conventional sensorless controls for induction motors require two PID regulators and precise
gain turning. This thesis presents a sensorless control for induction motors using an extended
Kalman filter (EKF) and linear quadratic tracking (LQT). The proposed method requires
only a single controller and no physical velocity sensor | nb_NO |
dc.language.iso | eng | nb_NO |
dc.publisher | Universitetet i Agder ; University of Agder | nb_NO |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/deed.no | * |
dc.subject | ENE500 | nb_NO |
dc.title | Sensorless Control of Induction Motors Using an Extended Kalman Filter and Linear Quadratic Tracking | nb_NO |
dc.type | Master thesis | nb_NO |
dc.subject.nsi | VDP::Teknologi: 500::Elektrotekniske fag: 540 | nb_NO |
dc.source.pagenumber | XI, 80 p. | nb_NO |