摘要
网侧变流器作为双PWM变流器的一部分,其在双馈电机发电系统中有十分重要的作用。对这种被控对象使用最多的控制器是传统的PI控制器。考虑到传统矢量控制的一些不足之处,该文拟采用基于遗传算法的模糊PI控制的方法,将遗传算法优化模糊控制的思想引入到DFIG网侧变流器的控制。首先,对模糊PI控制器的误差、误差变化率、比例和积分系数变化量的隶属度函数进行寻优,将优化后的模糊PI控制器应用到电压外环和电流内环。并在Matlab/Simulink环境中进行了仿真,试验结果表明该方法响应更快,稳定性有了改善,抗扰动性和鲁棒性也较好。
As part of a double PWM converter,grid-side converter has a very important role in the doubly-fed electri- cal power generation systems.For this controlled object using the most is traditional PI controller.Considering of the shortcomings of the traditional vector control,we intend to use fuzzy PI control based on genetic algorithm.The idea of fuzzy PI control optimized by genetic algorithm is introduced into DFIG grid-side converter control.First,optimizing the membership function of the error,the error rate changes ,the proportional and integral coefficients of variation of fuzzy PI controller .Then fuzzy PI controller after optimizing applied to the outer voltage loop and the inner current loop.And the results of simulation in Matlab/Simulink of the grid-side converter show that this method is faster re- sponse ,stability of the system has improved,disturbance rejection and robustness are better.
出处
《自动化与仪表》
2016年第12期31-34,44,共5页
Automation & Instrumentation
关键词
GA算法
隶属度函数
模糊控制
寻优
双馈风电机组
genetic algorithms
membership function
fuzzy control
optimization
doubly fed induction generator (DFIG)