基于改进粒子群算法的并网逆变器非线性控制策略研究

LCL型并网逆变器含有高阶环节,易造成系统不稳定。PR控制方案易受频率漂移影响和控制系统带宽的限制,难以形成对系统的有效控制。采用的非线性控制策略通过对控制目标的各阶信号的集成控制,较好地解决了传统控制原理中系统控制精度与稳定性之间的矛盾。为解决非线性控制器参数选取的问题,提出一种改进的网格粒子群算法,对控制器的参数进行寻优整定。与采用遗传算法和模拟退火算法相比,网格粒子群算法能更快的获得合适的控制参数,能更好地与控制策略相结合。仿真实验结果验证了该控制策略的可行性和有效性。

Nonlinear Control Strategy of Grid-connected Inverter Based on Improved PSO Algorithm

This paper adopts a nonlinear control strategy to implements integrated control of each order signals of the control target.It solves the contradiction between system control precision and stability in traditional control methods.Aiming at the existence of tunable parameters in nonlinear controller,this paper proposes a MPSO to optimize the controller param-eters.Compared with the Genetic Algorithm(GA) and the Simulated Annealing Algorithm(SAA),the MPSO can get and obtain the appropriate control parameters faster and the combination between algorithm and controller well.