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

机译:DTC的四个开关三相逆变器FED电动机驱动使用人工神经网络

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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:本文呈现了使用简单结构的人工神经网络从四个开关三相逆变器(FSTPI)进料的直接扭矩控制(DTC)方案,用于使用简单的结构性神经网络切换向量选择,并认为是具有低成本的商业上可行的解决方案,高效率和稳健性。通过将所提出的方案与传统DTC进行比较,即可从六个开关喂养,四个开关三相逆变器显示有趣的性能。空间矢量脉冲宽度调制(SVPWM)是与脉冲宽度调制(PWM)或正弦脉冲宽度调制(SPWM)相比的最佳技术,因为其总谐波失真,更宽的线性调制范围,更轻松的数字实现和更好的直流总线用于获得开关电压矢量的利用率。仿真结果显示了拟议方案的有效性。

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