基于TS型模糊神经网络控制器的有源电力滤波器直流侧电压控制的研究  

Research on APF DC Side Voltage Control Based on TS Type Fuzzy Neural Network Controller

作　　者：黄传金[1] 时伟[1] 曹文思[2] 巩鲁洪 

机构地区：[1]中州大学,河南郑州450044 [2]华北水利水电大学,河南郑州450045 [3]郑州祥和集团电气设备有限公司,河南郑州450016

出　　处：《低压电器》2013年第11期60-63,共4页Low Voltage Apparatus

基　　金：河南省教育厅自然科学基金项目(2011A470005);郑州市普通科技攻关项目(121PPTGG364-3)

摘　　要：针对三相并联型有源电力滤波器(APF)直流侧电容电压控制问题,考虑TS型模糊推理易于和比例积分微分(PID)控制方法相结合的特点,提出了基于TS型模糊推理的模糊神经网络控制器(FNNC)方法,并将其用于APF直流侧的电压控制。确定了基于TS-FNNC的三相APF指令电流运算结构,研究了相应的控制策略,对TS-FNNC的连接权值和第二层节点的隶属函数调整分别采用最小二乘法和BP算法,使其具有较快的响应速度。仿真试验验证了该控制策略的有效性。Focusing on DC capacitor voltage control problems for the three-phase shunt APF, considering that it is easy to combine TS type fuzzy inference with PID control method, this paper presented a fuzzy neural network controller based on TS fuzzy reasoning （ TS-FNNC ） and used it for the APF DC side voltage control. The APF instruction current operational structure was identified based on TS-FFNC. The corresponding control strategy was researched. The TS-FNNC connection weights and second layer node membership functions were adjusted by [east squares and BP algorithm respectively, so it had fast response speed. The simulation and experimental results verified the effectiveness of the control strategy.

关 键 词：有源电力滤波器 TS型模糊推理 模糊神经网络控制器 直流侧电压控制 

分 类 号：TM712.2[电气工程—电力系统及自动化]