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

Volume

2

fYear

2001

fDate

37104

Firstpage

1282

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ICEMS.2001.971917

Filename

971917