中国电机工程学报2024，Vol.44Issue(12)：4891-4903,中插24,14.DOI:10.13334/j.0258-8013.pcsee.230253
基于μ综合理论与遗传算法的并网逆变器鲁棒控制方法
Robust Control Method of Grid-connected Inverter Based on μ-Synthesis Theory and Genetic Algorithm
摘要
Abstract
In the actual operation of a grid-connected inverter,the uncertainty of grid impedance and time delay coefficient will affect the stable operation of the system.In order to improve the robustness of the system with parameter uncertainty,μ-synthesis theory is proposed to carry out the robust control of the system.By designing the weighting functions of parameter uncertainties and other performance constraints,the system can meet the requirements of robust stability and robust performance.Aiming at the problem that the order of the controller designed by μ-synthesis theory is too high to be realized in engineering,it can be combined with genetic algorithm to optimize the fixed-structure controller.The perturbation model of the system is built based on μ-synthesis theory firstly,and then the parameters of the system controller are designed using genetic algorithm,so that the perturbation system can achieve the goal of minimizing the structure singular value,thus achieving the requirements of stronger robustness and adaptability to parameter changes.The experimental results show that the controller designed by this method has better robustness than the controller designed by the traditional method.关键词
并网逆变器/μ综合理论/遗传算法/鲁棒控制Key words
grid-connected inverter/μ-synthesis theory/genetic algorithm/robust control分类
信息技术与安全科学引用本文复制引用
张雨,方天治,刘昊,金启源,章益凡..基于μ综合理论与遗传算法的并网逆变器鲁棒控制方法[J].中国电机工程学报,2024,44(12):4891-4903,中插24,14.基金项目
国家自然科学基金项目(52077102) （52077102）
江苏省自然科学基金项目(BK20201299). Project Supported by National Natural Science Foundation of China(52077102) （BK20201299）
Natural Science Foundation of Jiangsu Province(BK20201299). （BK20201299）
