基于模糊神经网络PID的动态电压恢复器  

Dynamic voltage restorer based on fuzzy neural network PID

作　　者：何志军 郭兴众[1] HE Zhi-jun;Guo Xing-zhong(College of Electrical Engineering,Anhui Polytechnic University,Anhui Wuhu 241000,China)

机构地区：[1]安徽工程大学安徽省检测技术与节能装置重点实验室,安徽芜湖241000

出　　处：《齐齐哈尔大学学报（自然科学版）》2019年第3期23-27,共5页Journal of Qiqihar University(Natural Science Edition)

基　　金：安徽省科技计划项目(1604b0602025);安徽省高校学科(专业)拔尖人才项目(gxbjZD20)

摘　　要：动态电压恢复器是解决电压波动最有效且最经济的用户电力设备,研究动态电压恢复器的控制策略显得尤为重要。针对动态电压恢复器的非线性特性,对动态电压恢复器的等效电路图进行分析和系统方程的推导,研究基于Mamdani模糊系统的模糊神经网络运用的PID控制中的一种复合控制,并对基于Mamdani模糊系统的神经网络进行分析,在此基础上设计该控制器,最后在MATLAB/Simulink中进行仿真验证。结果表明该控制策略的有效性。Dynamic voltage restorer is the most effective and economical user power equipment to solve voltage fluctuations.It is especially important to study the control strategy of dynamic voltage restorer.Aiming at the nonlinear characteristics of dynamic voltage restorer,this paper analyzes the equivalent circuit diagram of dynamic voltage restorer and deduces the system equation,and studies a composite control in PID control based on Mamdani fuzzy system.The neural network based on Mamdani fuzzy system is analyzed.Based on analysis,the controller is designed and finally verified by simulation in MATLAB/Simulink.The results show the effectiveness of the control strategy.

关 键 词：电能质量 动态电压恢复器 Mamdani模糊系统 PID控制 

分 类 号：TM714.2[电气工程—电力系统及自动化]