摘要
传统的并网逆变器采用PI控制,往往存在控制精度不足、鲁棒性及抗干扰性较差的问题。针对上述问题,提出一种基于电流内环和电压外环的双闭环滑模控制(Sliding Mode Control,SMC)策略,增强了系统的抗干扰性。同时,采用多目标的粒子群优化算法(Particle Swarm Optimization,PSO)对滑模控制器的参数进行整定,使得控制器具有跟踪精度高、响应速度快、超调量小的优点。最后通过MATLAB/Simulink仿真实验,证明了所提策略的优越性和可行性。
Aiming at the problems of insufficient control accuracy,poor robustness and anti-interference of traditional PI control for photovoltaic grid connected inverter,a sliding mode control with double closed loops is proposed(SMC).In this strategy,the voltage outer loop and current inner loop are used to stabilize the output voltage and output current respectively,and the integral sliding mode control is used in both inner and outer loops to enhance the robustness of the system.In addition,aiming at the problems of low efficiency and inaccuracy caused by manual adjustment of controller parameters,a multi-objective particle swarm optimization algorithm is proposed particle swarm optimization(PSO)is used to adjust the parameters of the sliding mode controller,which makes the controller have the advantages of high tracking accuracy,fast response speed and small overshoot.Finally,the superiority and feasibility of the proposed strategy are proved by MATLAB/Simulink simulation experiments.
作者
金永康
陈志杰
JIN Yongkang;CHEN Zhijie(State Grid Jiangsu Electric Power Co.,Ltd.Yangzhou Power Supply Branch,Yangzhou 225000,China)
出处
《电工技术》
2025年第14期4-9,12,共7页
Electric Engineering
关键词
并网逆变器
滑模控制
粒子群优化算法
参数整定
多目标优化
grid connected inverter
sliding mode control
particle swarm optimization algorithm
parameter setting
multi objective optimization
