Title :
Sensorless control of induction motor using a neural network for speed estimation
Author :
Kazmierkowski, M.P. ; Sobczuk, D.L. ; Filipek, P.Z.
Author_Institution :
Inst. of Control & Ind. Electron., Warsaw Univ. of Technol., Poland
Abstract :
In the paper the application of an on-line trained neural network working as a speed estimator is presented. Three different speed estimation algorithms: backpropagation, conjugate gradient as well as least squares are investigated and compared. Some oscillograms which illustrate properties and sensitivity to parameter changes of the speed estimation techniques are presented
Keywords :
angular velocity control; backpropagation; conjugate gradient methods; electric machine analysis computing; induction motors; least squares approximations; machine control; neural nets; parameter estimation; backpropagation; conjugate gradient; induction motor; least squares; neural network; on-line trained neural network; oscillograms; parameter changes sensitivity; sensorless control; speed estimation; IEEE catalog; Induction motors; Industrial electronics; Mechanical sensors; Neural networks; Sensorless control; Stators; Synchronous motors; Velocity measurement; Voltage;
Conference_Titel :
Industrial Electronics, 1997. ISIE '97., Proceedings of the IEEE International Symposium on
Conference_Location :
Guimaraes
Print_ISBN :
0-7803-3936-3
DOI :
10.1109/ISIE.1997.648921
