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
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;
Conference_Titel :
Information Science and Engineering (ICISE), 2009 1st International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-4909-5
DOI :
10.1109/ICISE.2009.505
