摘要
论述了电压空间矢量脉宽调制(SVPWM)的基本原理,提出利用径向基(RBF)网络实现SVPWM的方法;并在Matlab下结合神经网络工具箱进了仿真研究。仿真结果表明,RBF-SVPWM收敛速度快、误差精度高,使用该方法建立的异步电动机控制系统具有更小的定子电流谐波和转矩脉动。
The basic principle of space vohage vector PWM was discussed, and a new algorithm for SVPWM based on radial basis function neural network（RBF-SVPWM） was proposed. The emulation of RBF＇SVPWM was carried out in Matlab together with NNtoolbox. The results indicate that RBF-SVPWM has a fast convergence and high accurate error, and the induction motor control system using RBF-SVPWM also has less stator current harmonics and torque pulsation.
出处
《微特电机》
北大核心
2011年第9期45-47,69,共4页
Small & Special Electrical Machines
