Title :
Study of neural network application on direct torque control of induction machine
Author :
Shoudao, Huang ; Youjie, Lin
Author_Institution :
Coll. of Electr. & Inf. Eng., Hunan Univ., Changsha, China
Abstract :
This paper presented a BP neural network resistance estimation scheme for direct torque control (DTC) of an induction machine. The neural estimator observes the stator current to detect the changes in the stator resistance. Simulation models are constructed using MATLAB/SIMULINK to analyse the application of the neural network on the DTC, which is trained to follow the relationship between the stator current and stator resistance. Improved performance such as dynamics characteristic can be tested through the simulation
Keywords :
asynchronous machines; backpropagation; electric resistance; machine control; neurocontrollers; observers; parameter estimation; stators; torque control; BP neural network; MATLAB/SIMULINK; direct torque control; dynamics characteristic; induction machine; neural estimator; neural network application; resistance estimation; stator current observer; stator resistance; Educational institutions; Electric resistance; Electrical resistance measurement; Electronic mail; Inductance; Induction machines; Neural networks; Stators; Torque control; Voltage;
Conference_Titel :
Electrical Machines and Systems, 2001. ICEMS 2001. Proceedings of the Fifth International Conference on
Conference_Location :
Shenyang
Print_ISBN :
7-5062-5115-9
DOI :
10.1109/ICEMS.2001.971917
