A Neural Network Based Space Vector PWM for Permanent Magnet Synchronous Motor Drive

Author

Xiang, Guoqi ; Huang, Dagui

Author_Institution

Univ. of Electron. Sci. & Technol. of China, Chengdu

fYear

2007

fDate

5-8 Aug. 2007

Firstpage

3673

Lastpage

3678

Abstract

This paper presents a artificial neural network based implementation of space vector pulse width modulation (SVPWM) for voltage-source inverter(VSI) permanent magnet synchronous motor(PMSM) drive. This ANN-SVPWM completely covers the undermodulation and overmodulation modes using method of linear modulation. Different network architectures are investigated keeping the same number of neurons. A optimal neural network is obtained. The vector control system of PMSM with proposed ANN-SVPWM is simulated using MATLAB/Simulink together with the Neural Network Toolbox. The simulation results demonstrate the feasibility of the optimal network presented.

Keywords

PWM invertors; electric machine analysis computing; machine vector control; neurocontrollers; permanent magnet motors; synchronous motor drives; voltage control; Matlab/Simulink; artificial neural network; optimal neural network; permanent magnet synchronous motor drive; space vector pulse width modulation; vector control system; voltage-source inverter; Artificial neural networks; Mechatronics; Neural networks; Neurons; Permanent magnet motors; Pulse width modulation inverters; Space technology; Space vector pulse width modulation; Support vector machines; Voltage control; Neural network; PMSM; PWM; Space vector;

fLanguage

English

Publisher

ieee

Conference_Titel

Mechatronics and Automation, 2007. ICMA 2007. International Conference on

Conference_Location

Harbin

Print_ISBN

978-1-4244-0828-3

Electronic_ISBN

978-1-4244-0828-3

Type

conf

DOI

10.1109/ICMA.2007.4304157

Filename

4304157