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