DocumentCode :
2393088
Title :
The Comparison of On line control of Three Phase Induction Motor Using RBF and B-Spline Neural Network
Author :
Facta, Mochammad ; Setiawan, Iwan
Author_Institution :
Electr. Dept., Diponegoro Univ., Semarang
fYear :
2006
fDate :
28-29 Nov. 2006
Firstpage :
337
Lastpage :
341
Abstract :
The non-linear characteristic of three phase induction motor has been an obstacle to design the speed motor control in the conventional method. This paper presents the application two method of neural network (NN) to produce control signal for three phase inverter, which drives three-phase induction motor. The first application is using radial basis function (RBF) as and the second is using B-spline neural network. As the result, for the higher value of convergence rate and proportional gain choice, these two methods give overshoot respond of speed. In average both system give settling time in 3 second, but during starting for various speed setting RBF has give the faster respond to reach there speed setting point than B-spline.
Keywords :
angular velocity control; control engineering computing; electric machine analysis computing; induction motors; invertors; machine control; radial basis function networks; splines (mathematics); B-spline neural network; RBF; motor speed control; on line control; radial basis function neural network; three phase induction motor; three phase inverter; Artificial neural networks; Control design; Convergence; Feeds; Induction motors; Inverse problems; Neural networks; Power capacitors; Spline; Velocity control; B-Spline; induction motor; neural network; radial basis function (RBF); speed control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power and Energy Conference, 2006. PECon '06. IEEE International
Conference_Location :
Putra Jaya
Print_ISBN :
1-4244-0273-5
Electronic_ISBN :
1-4244-0274-3
Type :
conf
DOI :
10.1109/PECON.2006.346672
Filename :
4154516
Link To Document :
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