DocumentCode
391952
Title
Neural network based efficiency optimization of an induction motor drive with vector control
Author
Pryymak, Bogdan ; Moreno-Eguilaz, Juan M. ; Peracaula, Juan
Author_Institution
E.O. Paton Electr. Welding Inst., Acad. of Sci., Kiev, Ukraine
Volume
1
fYear
2002
fDate
5-8 Nov. 2002
Firstpage
146
Abstract
In this paper an efficient optimization controller for a vector control induction motor drive is studied using a neural network. A 2-5-7-1 neural network has been designed to estimate the optimum rotor flux for the motor. The network has been trained using a complete motor loss model, taking into account the magnetic deviations of the motor parameters. Simulation results are shown to demonstrate the validity of the proposed methods.
Keywords
feedforward neural nets; induction motor drives; losses; machine theory; machine vector control; magnetic flux; rotors; 2-5-7-1 neural network; 750 W; complete motor loss model; feedforward neural network; induction motor drive; magnetic deviations; neural network based efficiency optimization; optimization controller; optimum rotor flux; vector control; Copper; Inductance; Induction motor drives; Induction motors; Iron; Machine vector control; Neural networks; Rotors; Stators; Torque;
fLanguage
English
Publisher
ieee
Conference_Titel
IECON 02 [Industrial Electronics Society, IEEE 2002 28th Annual Conference of the]
Print_ISBN
0-7803-7474-6
Type
conf
DOI
10.1109/IECON.2002.1187497
Filename
1187497
Link To Document