Neural Sensorless Control of Linear Induction Motors by a Full-Order Luenberger Observer Considering the End Effects
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: 2014شناسه الکترونیک: 10.1109/TIA.2013.2288429
کلیدواژه(گان): least squares approximations,linear induction motors,motor drives,sensorless machine control,end effects,full order Luenberger adaptive speed observer,gain matrix choice,machine linear speed,neural sensorless control,rotating induction machine model,sensorless linear induction motor drives,sliding mode MRAS observers,state space vector representation,total least squares,Air gaps,Equations,Inductance,Inductors,Mathematical model,Neurons,Observers,Dynamic end effects,End effe
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Neural Sensorless Control of Linear Induction Motors by a Full-Order Luenberger Observer Considering the End Effects
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| 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 | |
| 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 |