采用人工神经网络实现四开关三相逆变器馈电异步电动机的直接转矩驱动

C. Ashfak, A. Hareesh
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引用次数: 0

摘要

本文提出了一种采用简单的结构化人工神经网络进行开关矢量选择的四开关三相逆变器(FSTPI)异步电动机直接转矩控制(DTC)方案,该方案具有低成本、高效率和鲁棒性,是一种商业上可行的解决方案。通过与传统的六开关和四开关三相逆变器的直接转矩控制进行比较,得到了令人满意的性能。空间矢量脉宽调制(SVPWM)由于其总谐波失真较小、线性调制范围较宽、易于数字化实现和更好地利用直流母线获取开关电压矢量,是与脉宽调制(PWM)或正弦脉宽调制(SPWM)相比的最佳技术。仿真结果表明了该方案的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
DTC of four switch three phase inverter fed induction motor drive using artificial neural network
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.
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