DocumentCode
1683455
Title
Speed estimator for induction motor drives using an artificial neural network
Author
Kulkarni, Amol S. ; El-Sharkawi, M.A.
Author_Institution
Dept. of Electr. Eng., Washington Univ., Seattle, WA, USA
fYear
1997
Abstract
This paper describes the application of a three layered feedforward artificial neural network for estimating the speed of an induction motor based on delayed samples of stator currents and voltages. Good accuracy is obtained even at low speeds of operation. The technique is robust and independent of variations in rotor resistance
Keywords
backpropagation; electric machine analysis computing; feedforward neural nets; induction motor drives; parameter estimation; rotors; stators; backpropagation; induction motor drives; robust technique; rotor resistance variations; speed estimator; stator currents; stator voltages; three layered feedforward neural net; Artificial neural networks; Equations; Induction motor drives; Induction motors; Low pass filters; Neural networks; Rotors; Stators; Torque control; Voltage;
fLanguage
English
Publisher
ieee
Conference_Titel
Electric Machines and Drives Conference Record, 1997. IEEE International
Conference_Location
Milwaukee, WI
Print_ISBN
0-7803-3946-0
Type
conf
DOI
10.1109/IEMDC.1997.604189
Filename
604189
Link To Document