Title :
A neural vector control for induction machine
Author :
Maia, C.A. ; Resende, P. ; Silvino, J.L.
Author_Institution :
Fed. Univ. of Minas Gerais, Belo Horizonte, Brazil
Abstract :
A neural network scheme is proposed for field orientation and torque control of the induction machine. The neural network control is derived using a gain scheduling technique, by means of a discrete time-variant model for the induction machine that is obtained for several operating conditions. Simulation results are presented to verify the efficiency of the proposed approach
Keywords :
control system synthesis; induction motors; machine control; neurocontrollers; power engineering computing; torque control; discrete time-variant model; field orientation; gain scheduling technique; induction machine; neural network control; neural vector control; torque control; Artificial neural networks; Control systems; Induction machines; Machine vector control; Neural networks; Nonlinear control systems; Nonlinear equations; Regulators; Stators; Torque control;
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.1997.648926
