Title :
SVPWM control of permanent magnet synchronous motor based onneural network dynamic tuning
Author :
Jiayan, Zhang ; Jiahong, Lang ; Xugang, Feng
Author_Institution :
Anhui Univ. of Technol., Ma anshan, China
Abstract :
To sovle high torque ripple at low speed, high frequence noise and slow response caused by torque ripple for conventional control systems of permanent magnet synchronous motor(PMSM), the scheme of Digonal Recurrent Neural Network(DRNN) Dynamic speed Controller for space vector PWM(SVPWM) control of a permanent magnet synchronous motor(PMSM) is presented. The structure of dynamic PID speed Controller based on digonal recurrent neural network(DRNN-PID), and an dynamic learning algorithm are analyzed. The results of simulation are provided to demonstrate system superior characteristics with low torque ripple, few harmonics and the effectiveness of the proposed DRNN dynamic speed Controller under the occurrence of parameter variations and external disturbance.
Keywords :
learning systems; machine control; permanent magnet motors; recurrent neural nets; synchronous motors; three-term control; torque control; velocity control; DRNN dynamic speed controller; DRNN-PID; SVPWM control; digonal recurrent neural network; dynamic PID speed controller; dynamic learning algorithm; dynamic speed controller; high torque ripple; neural network dynamic tuning; permanent magnet synchronous motor; space vector PWM control; Artificial neural networks; Permanent magnet motors; Space vector pulse width modulation; Switches; Synchronous motors; Torque; Neural Network Dynamic tuning; PMSM; SVPWM;
Conference_Titel :
Control and Decision Conference (CCDC), 2011 Chinese
Conference_Location :
Mianyang
Print_ISBN :
978-1-4244-8737-0
DOI :
10.1109/CCDC.2011.5968985
