基于自适应智能控制的混合有源电力滤波器复合控制被引量：29

A NOVEL HYBRID CONTROL BASED ON THE ADAPTIVE INTELLIGENT THEOREMS FOR THE SHUNT HYBRID ACTIVE POWER FILTER

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摘要在考虑了有源滤波器的输出滤波器的基础上,建立了并联混合型有源电力滤波器的电气模型,提出了一种基于自适应智能控制的混合有源电力滤波器复合控制方案。其中对谐波电流比例系数采用神经元自适应PID控制算法,根据电网参数的变化自动调节PID控制器的参数;对谐波电压比例系数则采用基于自适应神经网络的解耦控制,仿真和工程应用都表明采用这种复合控制混合有源电力滤波器能达到较好的滤波效果。 A electrical model of the Shunt Hybrid Active Power paying attention to the Output Filter of the active power filter was built, and then proposed a control strategy based on the adaptive intelligent theorems, in which a Single Nerve Adaptive PID controller was adopted to control the harmonic current proportion coefficient and a Adaptive Nerve Network was adopted to decouple the harmonic current proportion coefficient and the harmonic voltage proportion coefficient. The result of simulation and the application confirmed that the novel control strategy based on the proposed adaptive intelligent theorems could get a good control effect for the Shunt Hybrid Active power filter.

作者付青罗安王莉娜

机构地区中南大学信息科学与工程学院湖南大学电气与信息工程学院清华大学电机系

出处《中国电机工程学报》 EI CSCD 北大核心 2005年第14期46-51,共6页 Proceedings of the CSEE

基金国家自然科学基金项目(60474041) 国家863项目(2004AA001032)~~

关键词电力电子混合有源电力滤波器神经元自适应 PID 自适应神经网络 Power electronics Shunt hybrid active power filter（SHAPF） Single nerve PID Adaptive nerve network（ANN）

分类号 TM73 [电气工程—电力系统及自动化]

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参考文献15

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