Title :
ANN Observer of Permanent Magnet Synchronous Motor Based on SVPWM
Author :
Liu, Xuepeng ; Wang, Bin
Author_Institution :
Coll. of Autom. Sci. & Eng., South China Univ. of Technol., Guangzhou
Abstract :
This paper presents an ANN observer that estimates the position of permanent magnet synchronous motor by a single shunt. The observer with artificial neural network is based on a nonlinear transformation of mathematical model of PMSM in a stationary alpha - beta reference frame. By designing appropriate weight value and back propagate learning rule with SVPWM, the permanent magnet synchronous motor properly get the angular position. The simulation and experiment results show that the scheme has simple structure, satisfactory performance and strong robustness
Keywords :
backpropagation; machine control; neurocontrollers; observers; permanent magnet motors; pulse width modulation; ANN observer; SVPWM; angular position estimation; appropriate weight value; artificial neural network; back propagate learning rule; mathematical model; nonlinear transformation; permanent magnet synchronous motor; single shunt; stationary reference frame; Adaptive control; Artificial neural networks; Optical sensors; Permanent magnet motors; Sensorless control; Space vector pulse width modulation; Stators; Synchronous motors; Torque control; Velocity control; ANN. SVPWM. PMSM. Sensorless control. Observer.;
Conference_Titel :
Intelligent Systems Design and Applications, 2006. ISDA '06. Sixth International Conference on
Conference_Location :
Jinan
Print_ISBN :
0-7695-2528-8
DOI :
10.1109/ISDA.2006.100
