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

2007 
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.
    • Correction
    • Source
    • Cite
    • Save
    • Machine Reading By IdeaReader
    10
    References
    2
    Citations
    NaN
    KQI
    []