Research of Space Vector PWM Inverter Based on the Neural Network
The basic principle of space vector PWM is analyzed, and a novel algorithm for SVPWM based on neural network is proposed. This neural network SVPWM controller completely covers the under-modulation and over-modulation linearly extending operation smoothly up to the six-step mode. The neural network controller has the advantage of very fast implementation by using SVPWM algorithm, and it can increase the switching frequency of power switches in the static converter. In this design, the individual training strategy with the fixed weight and supervised models have used. The simulation is developed by using Matlab/Simulink, together with the Neural Network Toolbox for training the ANN-controller. The simulation results show that the neural network control strategy during over-modulation period features simplicity, high efficiency and excellent control effect.
He su fen Yi Ling zhi Tan ping an Li ju cheng Peng Han mei
College of Information Engineering of Xiang tan University, Hunan Xiang tan, China
国际会议
11th International Conference on Electrical Machines and Systems(第11届国际电机与系统会议)
武汉
英文
1-4
2008-10-17（万方平台首次上网日期，不代表论文的发表时间）