摘要
该文建立了三相SPWM逆变电源的非线性的MATLAB仿真模型,通过仿真试验获得逆变电源发生开关器件断路时的数据矩阵,构造系统神经网络的学习样本,并以此训练神经网络,确定了用于三相SPWM逆变电源故障诊断的神经网络结构和参数。仿真验证试验结果表明所设计的基于人工神经网络的电力电子逆变电路的故障诊断系统是可行的。
Nonlinear MATLAB simulation model of three-phase sine-PWM inverter was setup. The data matrix made up of the learning samples of the neural network was obtained by simulating the fault types of the switch off of the switches in the inverter. After training the network, the optimum structure and parameters of fault diagnosis system were achieved. The well-designed training set was verified by simulation test. The simulation result proved that the model was correct and the diagnosis method was feasible.
出处
《系统仿真学报》
CAS
CSCD
2004年第7期1512-1515,共4页
Journal of System Simulation
基金
国家杰出青年基金(69925306)
