Title :
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
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;
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.2001.971914
