DocumentCode
2208176
Title
Direct Torque Control of Induction Motor Using Neural Network
Author
Lin, Guohan ; Xu, Zhiwei
Author_Institution
Dept. of Electr. & Inf. Eng., Univertities of Hunan Province, Xiangtan, China
fYear
2009
fDate
26-28 Dec. 2009
Firstpage
4827
Lastpage
4830
Abstract
In this paper, a kind of feed forward neural network (NN) with three layers was applied to direct torque control (DTC) of induction motor. And backward propagation (BP) algorithm was used to train the network. The comparison with conventional direct torque control show that the proposed method reduce the torque, stator flux, and current ripples. The validity of the proposed method is verified by the simulation results.
Keywords
backpropagation; feedforward neural nets; induction motors; magnetic flux; stators; torque control; BP; DTC; backward propagation; current ripples; direct torque control; feed forward neural network; induction motor; stator flux; Artificial neural networks; Feedforward neural networks; Feeds; Induction motor drives; Induction motors; Neural networks; Pulse width modulation inverters; Stators; Torque control; Voltage;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Science and Engineering (ICISE), 2009 1st International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4244-4909-5
Type
conf
DOI
10.1109/ICISE.2009.505
Filename
5454537
Link To Document