DocumentCode :
330304
Title :
Direct self control of induction motor based on neural network
Author :
Shi, K.L. ; Chan, T.F. ; Wong, Y.K.
Author_Institution :
Dept. of Electr. Eng., Hong Kong Polytech., Hong Kong
Volume :
2
fYear :
1998
fDate :
11-14 Oct 1998
Firstpage :
1696
Abstract :
This paper presents an artificial neural network (ANN) of direct self control (DSC) for induction motor to decrease the time consumption of conventional DSC controller. To cope with the complex calculation of DSC, the design employs the individual training strategy with the fixed-weight and the supervised models. The simulation results of ANN DSC system have demonstrated that ANN is available to implement the DSC theory for an induction motor
Keywords :
induction motors; machine control; neurocontrollers; self-adjusting systems; direct self control; fixed-weight; induction motor; machine control; neural network; neurocontrol; supervised models; Artificial neural networks; Biological system modeling; Digital signal processing; Hardware; Induction motors; Mathematical model; Neural networks; Neurons; Signal processing algorithms; Switching frequency;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man, and Cybernetics, 1998. 1998 IEEE International Conference on
Conference_Location :
San Diego, CA
ISSN :
1062-922X
Print_ISBN :
0-7803-4778-1
Type :
conf
DOI :
10.1109/ICSMC.1998.728138
Filename :
728138
Link To Document :
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