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

Volume

1

fYear

2006

fDate

16-18 Oct. 2006

Firstpage

95

Lastpage

100

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.;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Systems Design and Applications, 2006. ISDA '06. Sixth International Conference on

Conference_Location

Jinan

Print_ISBN

0-7695-2528-8

Type

conf

DOI

10.1109/ISDA.2006.100

Filename

4021416