Supervisory Nearly Constant Frequency Hysteresis Current Control for Active Power Filter Applications in Stationary Reference Frame

A. Fereidouni, M. Masoum, K. Smedley
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引用次数: 35

Abstract

This paper proposes a new constant frequency space-vector hysteresis-band current control (CF-SVHCC) in the stationary reference frame (SRF) for three-level active power filter applications when applied to isolated neutral point (INP) systems. CF-SVHCC is designed based on two recognized modulation methods: 1) space-vector modulation and 2) adaptive hysteresis current control. The proposed technique consists of a simple circular hysteresis strategy around the current-error vector in SRF with the purpose of employing the zero- and nonzero-voltage vectors of the three-level voltage source inverter. CF-SVHCC continuously estimates an adaptive outer hysteresis-band in the SRF using the inverter switching signals by a simple and fast artificial neural network method called the adaptive linear neuron algorithm. The main part of CF-SVHCC is a supervisory control unit that operates in the SRF to avoid interphase dependency and systematically uses the voltage vectors associated with the estimated outer hysteresis-band to prevent a high switching frequency and, in turn, maintain the switching frequency constant. CF-SVHCC retains most benefits of the conventional HCC and also introduces additional advantages, including a constant switching frequency and the interphases independency in three-phase INP systems.
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静止参考系有源电力滤波器的监控近恒频迟滞电流控制
本文提出了一种适用于隔离中性点(INP)系统的三电平有源电力滤波器在固定参考系(SRF)下的恒频空间矢量滞后带电流控制方法(CF-SVHCC)。CF-SVHCC的设计基于两种公认的调制方法:1)空间矢量调制和2)自适应迟滞电流控制。所提出的技术包括一个简单的圆形磁滞策略,围绕SRF中的电流误差矢量,目的是利用三电平电压源逆变器的零电压和非零电压矢量。CF-SVHCC采用一种简单快速的人工神经网络方法,即自适应线性神经元算法,利用逆变器开关信号连续估计SRF中的自适应外滞回带。CF-SVHCC的主要部分是一个监督控制单元,它在SRF中工作以避免相间依赖,并系统地使用与估计的外部迟滞带相关的电压矢量来防止高开关频率,从而保持开关频率恒定。CF-SVHCC保留了传统HCC的大部分优点,并引入了其他优点,包括恒定的开关频率和三相INP系统的相间独立性。
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