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。该方法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为核心搭建了直接转矩控制系统,通过采集实验数据分析结果表明,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,并且保持了转矩和速度的响应速度。
This paper is concentrated on the problem of torque and stator flux linkage wide fluctuation.in traditional DTC and submits a new control method,which combine space vector modulation,fuzzy-neural network and DTC.It is based on the variation of flux linkage of motor＇s stator,the variation of torque and the position of motor＇s stator,gets a anticipant space vector of arbitrary phase by using the fuzzy-neural network,and then finds the optimal method to control the state of inverter switch by combined with space vector modulation.Finally,it sets up the DCT system based on this way and proves the flux fluctuation and torque fluctuation is decreased are decreased compare with traditional DCT.
出处
《宁波职业技术学院学报》
2010年第2期19-22,39,共5页
Journal of Ningbo Polytechnic
