Supervisory Nearly Constant Frequency Hysteresis Current Control for Active Power Filter Applications in Stationary Reference Frame
Supervisory Nearly Constant Frequency Hysteresis Current Control for Active Power Filter Applications in Stationary Reference Frame
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DOI：
10.1109/jpets.2015.2501423
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发表时间：
2016-01
期刊：
影响因子：
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通讯作者：
A. Fereidouni;M. Masoum;K. Smedley
中科院分区：
文献类型：
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作者：
A. Fereidouni;M. Masoum;K. Smedley
提出了一种新的固定参考坐标系下的三电平有源电力滤波器中性点不接地（INP）系统恒频空间矢量窄带电流控制（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）自适应滞环电流控制。所提出的技术包括一个简单的圆滞环策略周围的电流误差矢量SRF采用零和非零电压矢量的三电平电压源逆变器的目的。CF-SVHCC连续估计一个自适应的SRF外频带使用逆变器开关信号由一个简单而快速的人工神经网络方法称为自适应线性神经元算法。CF-SVHCC的主要部分是一个监控单元，它在SRF中运行以避免相间依赖性，并系统地使用与估计的外窄带相关联的电压矢量来防止高开关频率，进而保持开关频率恒定。CF-SVHCC保留了传统HCC的大部分优点，并且还引入了额外的优点，包括恒定的开关频率和三相INP系统中的相间独立性。
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.