摘要
介绍了直接转矩控制变频器的模糊神经网络的实现,并针对系统在U-I磁链模型中只要估计出定子电阻R就可以解决系统低速时受定子电阻影响的问题,设计了模糊神经网络状态选择器而且针对直接转矩控制中,异步电动机定子电阻值对系统低速性能的严重影响,还设计了一个模糊神经网络定子电阻观测器,经仿真实验表明控制性能有很大提高。
The realization is recommended about DTC frequency converter based on fuzzy neural net. In regard of the system in U-I flux linkage , if only stator′s resistance R is estimated as the system has low speed, the problem on the effect exerted by stator′s resistance can be solved. In addition, the selector is designed for fuzzy neural net state choice against heavy resisting effect from \%R\-s′\% value shown by asynchronous motor′s stator directing against DTC when low speed performance exists. Again, a resistance observer is designsed for fuzzy neural net stator. Simulation experiment shows that control performance has been considerably improved and increased.
出处
《辽宁工学院学报》
2002年第6期13-16,共4页
Journal of Liaoning Institute of Technology(Natural Science Edition)
