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Improved control configuration of PWM rectifiers based on neuro-fuzzy controller

机译:基于神经模糊控制器的PWM整流器改进控制配置

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摘要

It is well-known that rectifiers are used widely in many applications required AC/DC transformation. With technological advances, many studies are performed for AC/DC converters and many control methods are proposed in order to improve the performance of these rectifiers in recent years. Pulse width modulation (PWM) based rectifiers are one of the most popular rectifier types. PWM rectifiers have lower input current harmonics and higher power factor compared to classical diode and thyristor rectifiers. In this study, neuro-fuzzy controller (NFC) which has robust, nonlinear structure and do not require the mathematical model of the system to be controlled has been proposed for PWM rectifiers. Three NFCs are used in control scheme of proposed PWM rectifier in order to control the dq-axis currents and DC voltage of PWM rectifier. Moreover, simulation studies are carried out to demonstrate the performance of the proposed control scheme at MATLAB/Simulink environment in terms of rise time, settling time, overshoot, power factor, total harmonic distortion and power quality.
机译:众所周知,整流器广泛用于要求AC / DC转换的许多应用中。随着技术的进步,近年来对AC / DC转换器进行了许多研究,并提出了许多控制方法,以提高这些整流器的性能。基于脉冲宽度调制(PWM)的整流器是最流行的整流器类型之一。与传统的二极管和晶闸管整流器相比,PWM整流器具有较低的输入电流谐波和较高的功率因数。在这项研究中,已提出了用于PWM整流器的具有鲁棒,非线性结构且不需要控制系统数学模型的神经模糊控制器(NFC)。在建议的PWM整流器的控制方案中使用了三个NFC,以控制PWM整流器的dq轴电流和DC电压。此外,进行了仿真研究,以证明在MATLAB / Simulink环境下所提出的控制方案在上升时间,稳定时间,过冲,功率因数,总谐波失真和功率质量方面的性能。

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