Abstract
A novel algorithm of space vector PWM (SVPWM) based on artificial neural network is proposed in this paper, in order to cope with the complex calculation required in Space Vector PWM. It makes full use of the fast parallel computation and learning capability of ANN to shorten the time of calculation and reduce the harmonic composition and loss. The simulation model of vector control for permanent magnet synchronous motor drive system is built and simulated in MATLAB/Simulink. The simulation results show that the permanent magnet synchronous motor drive system based on artificial neural network SVPWM has more perfect performance than that based on traditional SVPWM controller in dynamic and static property, such as little torque pulses as well as robustness.
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