DocumentCode :
346236
Title :
Control of induction motors by artificial neural networks
Author :
Heredia, J.R. ; Hidalgo, F. Perez ; Paz, J. L Duran
Author_Institution :
Dept. Tecnologia Electronica, Malaga Univ., Spain
Volume :
2
fYear :
1999
fDate :
1999
Firstpage :
792
Abstract :
In this work, the authors propose a VSI control in open loop through the measurement of the current of the stator and using an artificial neural network (ANN). The technical control proposed has a mission to estimate the speed and torque of the rotor without necessity of using elements like tachometers or measurement of torque while the machine is working. The authors try to obtain an easy and cheap method of control with great precision and hardiness the same as other more complex schemes. The artificial neural networks receive, as inputs, the stator current and stator voltage and are trained for a collection of loads. The answers of the networks generate the estimates of the speed and the torque
Keywords :
DC-AC power convertors; control system analysis; control system synthesis; induction motors; invertors; machine control; machine testing; machine theory; neurocontrollers; parameter estimation; stators; torque control; velocity control; VSI; artificial neural networks; computer simulation; control design; control simulation; electric loads; induction motor control; neural network inputs; open loop control; rotor speed estimation; rotor torque estimation; stator current; stator current measurement; stator voltage; Artificial neural networks; Current measurement; Induction motors; Open loop systems; Rotors; Stators; Torque control; Torque measurement; Velocity measurement; Voltage;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics, 1999. ISIE '99. Proceedings of the IEEE International Symposium on
Conference_Location :
Bled
Print_ISBN :
0-7803-5662-4
Type :
conf
DOI :
10.1109/ISIE.1999.798714
Filename :
798714
Link To Document :
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