Title :
A strategy for induction motor stator flux estimation using neural networks
Author :
Aguiar, Victor P B ; Pontes, Ricardo S Thé ; Braga, Arthur P S ; De Aguiar, José Sérgio, Jr.
Author_Institution :
Fed. Univ. of Ceara, Ceara
Abstract :
Given the importance of the stator magnetic flux in the control of speed and torque of induction machines, this paper aims at presenting an Artificial Neural Network technique for stator flux estimation. A special network configuration is proposed and simulation results are presented. The estimator results are promising in view of the new training strategy presented. An analysis is carried out which shows excellent performance within a spectral frequency range used in several applications.
Keywords :
induction motors; machine control; magnetic flux; neural nets; power engineering computing; stators; torque control; velocity control; artificial neural network technique; induction motor; spectral frequency range; speed control; stator magnetic flux estimation; torque control; Artificial neural networks; Inductance; Induction machines; Induction motors; Intrusion detection; Neural networks; Open loop systems; Rotors; Stators; Torque control;
Conference_Titel :
Electrical Machines and Systems, 2007. ICEMS. International Conference on
Conference_Location :
Seoul
Print_ISBN :
978-89-86510-07-2
Electronic_ISBN :
978-89-86510-07-2
