为了解决单相并联有源滤波器APF(Active Power Filter)控制策略设计时需要的精确数学模型,本文设计了根据系统输入输出信号的神经网络模型辨识。该辨识模型能精确描述单相并联有源滤波器输入-输出特性,并基于该模型设计了神经网络反馈线性化(也称NARMA-L2)控制器。该控制器不仅具有良好的动态响应,而且对系统参数变化不敏感,有较强的鲁棒性,便于工程应用。针对单相并联有源滤波器的变负载变参数的仿真实验证明了该控制策略的有效性。
【英文论文摘要】
Active power filter(APF)will be the main device in harmonic elimination in future,and the control strategies for APF were generally based on the simplified mathematical models and seldom took the system parametric variation in consideration.Thus the system will destabilize,a novel control strategy based on neural networks is proposed.Discussions on the design of NARMA-L2 model-based controller adopting feedback linearization principle are given.The controller not only discards the system model building,owns...
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