contributor author | Accetta, A. | |
contributor author | Cirrincione, M. | |
contributor author | Pucci, M. | |
contributor author | Vitale, G. | |
date accessioned | 2020-03-12T18:31:48Z | |
date available | 2020-03-12T18:31:48Z | |
date issued | 2014 | |
identifier issn | 0093-9994 | |
identifier other | 6654341.pdf | |
identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/961540?show=full | |
format | general | |
language | English | |
publisher | IEEE | |
title | Neural Sensorless Control of Linear Induction Motors by a Full-Order Luenberger Observer Considering the End Effects | |
type | Journal Paper | |
contenttype | Metadata Only | |
identifier padid | 7994351 | |
subject keywords | least squares approximations | |
subject keywords | linear induction motors | |
subject keywords | motor drives | |
subject keywords | sensorless machine control | |
subject keywords | end effects | |
subject keywords | full order Luenberger adaptive speed observer | |
subject keywords | gain matrix choice | |
subject keywords | machine linear speed | |
subject keywords | neural sensorless control | |
subject keywords | rotating induction machine model | |
subject keywords | sensorless linear induction motor drives | |
subject keywords | sliding mode MRAS observers | |
subject keywords | state space vector representation | |
subject keywords | total least squares | |
subject keywords | Air gaps | |
subject keywords | Equations | |
subject keywords | Inductance | |
subject keywords | Inductors | |
subject keywords | Mathematical model | |
subject keywords | Neurons | |
subject keywords | Observers | |
subject keywords | Dynamic end effects | |
subject keywords | End effe | |
identifier doi | 10.1109/TIA.2013.2288429 | |
journal title | Industry Applications, IEEE Transactions on | |
journal volume | 50 | |
journal issue | 3 | |
filesize | 1976805 | |
citations | 0 | |