摘要
三电平逆变器普遍采用电压矢量脉宽调制(Space Vector Pulse Width Modulation,简称SVPWM)的控制策略。这里提出了一种基于复合人工神经网络的SVPWM算法,充分利用人工神经网络的快速并行处理能力和学习能力,缩短了计算时间,降低了由控制延时引起的谐波成分。在Matlab/Simulink环境下,结合ANN工具箱建立了仿真模型,最后以TMS320LF2407 DSP为数字控制平台,实现了三电平逆变器的SVPWM控制策略。
Space vector pulse width modulation（SVPWM） control strategy is widely used in the three-level inverter area.A multiple algorithm based on the SVPWM and artificial neural network is proposed based on the summarized introduction of the ANN.The calculation time is shortened,and the harmonic due to control delay is reduced because of the fast parallel computation and learning capability of ANN.A computer simulation model is developed using Mat-lab/Simulink together with the neural network toolbox.The SVPWM control strategy of three-level inverter is imple-mented based on TMS320LF2407 DSP digital control platform.
出处
《电力电子技术》
CSCD
北大核心
2010年第12期97-99,共3页
Power Electronics
关键词
三电平逆变器
电压矢量脉宽调制
人工神经网络
three-level inverter
space vector pulse width modulation
artificial neural network
