Optimization of Improved PID Control Strategy Based on Genetic Algorithm

Conventional PID control, although has the advantage that the robustness and adaptability, has certain limitations, but for nonlinear systems is difficult to achieve the desired effect. When the environment changes, control parameters cannot be adjusted in time. Aiming at these problems, this paper presents an improved PID control strategy based on genetic algorithm. Taking single-phase LCL as the research object, by analyzing the operation process of single-phase LCL grid-connected inverter and optimizing genetic algorithm, the genetic iteration process is optimized through adaptive adjustment, and the weight of objective function is adjusted, so that the system can respond quickly, better monitoring of grid-connected current improves the robustness of the system. So as to better ensure the stability of grid connection. Finally, the MATLAB model is built for simulation. Simulation endings indicate that the boosted control strategy has great stability and can effectively decrease the grid current harmonic content. The improved algorithm is global and has relatively high error tolerance, which can meet the needs of grid connection.