基于径向基神经网络滞环电流跟踪控制的有源电力滤波器  

Active Power Filter of Hysteresis Current Tracking Control Based on RBF Neural Network

作　　者：何益宏[1] 张立涛[1] 

机构地区：[1]五邑大学信息学院,广东江门529020

出　　处：《华北水利水电学院学报》2012年第4期56-60,共5页North China Institute of Water Conservancy and Hydroelectric Power

摘　　要：以并联有源电力滤波器为研究对象,建立了该滤波器的滞环跟踪控制的MATLAB仿真模型,分析了该模型及并联有源电力滤波器的工作原理,提出了一个可以实现数字化控制的滞环跟踪控制算法——基于径向基神经网络的滞环电流控制算法.将该算法编写成MATLAB中的S-函数,并封装成S-函数模块.将该模块应用到有源电力滤波器的MATLAB仿真模型中.最后通过运行该模型验证了算法的可行性.Taking the parallel active power filter as a research object, the MATLAB simulation model of hysteresis tracking control was established, and the model and its working principle were analyzed. A hysteresis tracking control algorithm based on RBF neural net work was presented, which could realize digitalized control. The algorithm could be programmed to MATLAB Sfunction and could be packaged into Sfunction module, and the module was applied to the MATLAB simulation model of active power filter. At last, the model was operated to verify the feasibility of the algorithm.

关 键 词：有源电力滤波器 滞环跟踪控制 径向基神经网络 MATLAB S-函数 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]