首页> 外文会议>2015 IEEE International Conference on Power, Instrumentation, Control and Computing >DTC of four switch three phase inverter fed induction motor drive using artificial neural network
【24h】

DTC of four switch three phase inverter fed induction motor drive using artificial neural network

机译:人工神经网络驱动的四开关三相逆变器异步电动机直接转矩控制

获取原文
获取原文并翻译 | 示例

摘要

This paper presents direct torque control (DTC) scheme for an induction motor (IM) fed from four switch three phase inverter (FSTPI) using simple structured artificial neural network for switching vector selection and is conceived to be a commercially viable solution having low cost, high efficiency and robustness. By comparing the proposed scheme with conventional DTC for IM fed from six switch and four switch three phase inverter shows interesting performance. Space vector pulse width modulation (SVPWM) is the best technique in comparison with pulse width modulation (PWM) or sinusoidal pulse width modulation (SPWM) because of its lesser total harmonic distortion, wider linear modulation range, their easier digital realization and better DC bus utilization for obtaining the switching voltage vectors. Simulation results show the validity of the proposed scheme.
机译:本文提出了一种使用简单结构化人工神经网络进行四矢量三相逆变器(FSTPI)馈电的感应电动机(IM)的直接转矩控制(DTC)方案,该方案用于选择开关矢量,并且被认为是低成本的商业可行解决方案,高效率和鲁棒性。通过将提出的方案与由六开关和四开关的IM馈入的IM的传统DTC进行比较,显示出令人感兴趣的性能。空间矢量脉冲宽度调制(SVPWM)与脉冲宽度调制(PWM)或正弦脉冲宽度调制(SPWM)相比是最好的技术,因为它的总谐波失真更小,线性调制范围更宽,它们的数字实现更容易并且直流总线更好用于获得开关电压矢量的利用率。仿真结果表明了该方案的有效性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号