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DTC系统中神经网络电压矢量选择控制器设计
引用本文:陈权,严殊,费文晓.DTC系统中神经网络电压矢量选择控制器设计[J].电机与控制应用,2004,31(5):6-10.
作者姓名:陈权  严殊  费文晓
作者单位:西南科技大学,四川,绵阳,621002
摘    要:这篇文章提出了基于神经网络的电压矢量选择控制器,为了克服传统直接转矩控制系统中由于进行复杂运算时延而降低系统性能和不便于硬件实现,本文采用监督型和确定型神经网络设计电压矢量选择控制器.仿真结果表明设计的基于神经网络电压矢量选择器是可行的.

关 键 词:直接转矩控制  神经网络  时延  电压矢量选择
修稿时间:2003年10月1日

Design of Neural-network-based Controller for Selecting Voltage Space Vector in DTC System
Chen Quan,Yan Shu,Fei Wenxiao.Design of Neural-network-based Controller for Selecting Voltage Space Vector in DTC System[J].Electric Machines & Control Application,2004,31(5):6-10.
Authors:Chen Quan  Yan Shu  Fei Wenxiao
Affiliation:Southwest University of Science and Technology
Abstract:This paper presents a neural network based controller for selecting the voltage space vector (SVSV). In order to cope with the time delay caused by the complex calculation required in traditional direct torque control (DTC) and difficulty to be applied by hardware, a controller for SVSV was designed with the supervised and fixed weight neural network. The simulated results demonstrate the feasibility of the neural network based controller for SVSV.
Keywords:DTC  Neural network Time delay Selecting voltage space vector  
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