大功率混合有源电力滤波器的智能控制策略

针对传统PI控制器的比例和积分控制参数是否取得最佳值能够对滤波器滤波性能产生较大的影响,提出了一种基于智能神经网络误差补偿(INNEC)及自适应模糊PI参数整定的大功率混合有源电力滤波器智能控制方法。其中,建立了新的模糊规则并利用模糊推理对PI控制器的比例系数、积分系数进行在线修改,实现PI参数的最佳调整;在经模糊整定后的PI控制器前串接一个智能神经网络误差补偿器来有效补偿负载谐波电流与逆变器实际输出电流之间的误差。仿真和实验结果验证了该控制方法的可行性和有效性,与传统PI控制方法比较,能有效提高系统的目标跟踪能力,滤波性能更好。

Intelligent control strategy of high-capacity hybrid active power filter

As the PI parameters have great influenee on the performance of APF(Active Power Filter),an intelligent control strategy based on INNEC(Intelligent Neural Network Error Compensator)and adaptive fuzzy PI parameter tuning is proposed for the high-capacity hybrid APF.It establishes new fuzzy rules and online adjusts PI parameters by fuzzy reasoning.An intelligent neural network elTor compensator is connected in series to the well.adjusted PI controller to compensate the error between the load harmonic current and the inverter output current.Simulative and experimental results prove its feasibility and effectiveness with better target tracking abilitv and filtering effect than the traditional PI control.