摘要
针对传统的直接转矩控制中存在转矩、定子磁链波动大的问题,提出了一种结合空间矢量调制的模糊神经网络直接转矩控制方法。它运用模糊神经网络得到期望的任意相位空间电压矢量,再结合空间矢量调制直接对逆变器的开关状态进行控制,以达到减小转矩、定子磁链波动的目的。最后以TMS320F240为核心搭建了一个直接转矩控制系统,通过采集实验数据,分析该直接转矩控制系统与传统的直接转矩控制系统相比磁链和转矩波动明显减少,并具良好的响应性。
Against the problem of wide fluctuation of the torque and stator flux linkage in the traditional DTC, a new control method, which combined space vector modulation, fuzzy-neural network and DTC, was raised. An anticipant space vector of arbitrary phase was got by using the fuzzy-neural network, and then, the switching status of the inverter was controlled directly combined with the space vector modulation, in order to decrease the torque and fluctuation of stator flux leakage. Finally, a DTC system employed the TMS320F240 as the core was implemented. The collected experimental data and further analysis of them proved the obvious decrease of the flux and torque fluctuation level through the comparison between the traditional DTC and above-mentioned DTC in this paper.
出处
《电机技术》
2010年第4期29-32,36,共5页
Electrical Machinery Technology
