摘要
本文首先介绍了直接转矩控制技术和神经网络的发展及国内外研究现状,之后由异步电动机和逆变器的数学模型入手,阐述了空间电压矢量的相关理论和直接转矩控制的核心思想,给出了异步电动机的观测模型和直接转矩控制系统的实现方案。为了对传统控制系统进行改进和优化,引入了神经网络理论,设计了基于RBF神经网络的控制,提出了采用神经网络代替开关表实现空间矢量调制的方法,磁链和转矩的观测模型也采用神经网络进行优化。
in this paper, we first introduce the direct torque control and neural network technique development and domestic and foreign research status, followed by the mathematical model of asynchronous motor and inverter starting, describes the core idea of the theory of space voltage vector and direct torque control, given the observation model of asynchronous motor and direct torque control system realization scheme. In order to improvement and optimization of the traditional control system, the introduction of the theory of neural network, design the control based on RBF neural network is proposed using neural networks to replace the switching table of space vector modulation method, flux and torque observation model also uses neural network optimization.
出处
《数字技术与应用》
2015年第4期9-9,共1页
Digital Technology & Application
关键词
异步电动机
神经网络
PID控制
asynchronous motor
direct torque control
neural network
PID control
