The direct torque control system using the artificial neural network observer

Author

Jianshe, Bai ; Haiying, Dong ; Junyi, Xue

Author_Institution

Xi´´an Jiaotong Univ., China

Volume

2

fYear

2001

fDate

37104

Firstpage

1272

Abstract

In this paper, we propose a new method for directly identifying the stator flux linkage and electromagnetic torque of induction motors, which uses artificial neural networks. Because the multilayer feedforward network has the good capability of approximating any linear or nonlinear function, which is trained using the back propagation (BP) algorithm, it can observe the stator flux linkage and electro-magnetic torque of induction motors accurately. Based on this principle, we built a new direct torque control (DTC) system. With simulation experiment, the results show that this method can observe accurately the stator flux linkage and electro-magnetic torque of induction motors, and the system has good dynamic and static performance

Keywords

backpropagation; feedforward neural nets; induction motors; machine control; magnetic flux; multilayer perceptrons; observers; stators; torque control; artificial neural network; artificial neural network observer; direct torque control system; electromagnetic torque; error back propagation algorithm; induction motors; linear function; multilayer feedforward network; nonlinear function; stator flux linkage; Artificial neural networks; Control systems; Couplings; Equations; Induction motors; Magnetic flux; Multi-layer neural network; Rotors; Stators; Torque control;

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.2001.971914

Filename

971914