Robust Control Method of Grid-connected Inverter Based on μ-Synthesis Theory and Genetic Algorithm
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.
grid-connected inverterμ-synthesis theorygenetic algorithmrobust control
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