Title :
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
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;
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
DOI :
10.1109/ICMA.2007.4304157
