采用遗传算法优化LCL滤波器并网逆变器电流控制器的PI常数

N. Windarko, O. Qudsi, A. Tjahjono, Okky A. Dimas, M. Purnomo
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引用次数: 12

摘要

本文提出了带LCL滤波器并网逆变器电流控制器的优化PI常数。该控制器由应用于同步参考框架的PI控制器组成,用于控制逆变器电流。为了分析控制器,应该对系统进行建模。不幸的是,这个系统太复杂了。因此,为了简化系统,将其转换为平衡单相模型。此外,系统的复杂性增加了PI常数调整的难度。为了调整PI常数,控制器回路被表述为具有瞬态响应和稳态误差约束的目标函数。遗传算法将同步优化以获得PI控制器常数的最优值。在MATLAB环境下对遗传算法进行了仿真。然后,在PSIM模拟器的电路中验证了优化后的PI常数。仿真结果表明,该方法可以确定最佳响应的PI常数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimized PI constant for current controller of grid connected inverter with LCL filter using Genetic Algorithm
This paper presents optimized PI constant for current controller of grid connected inverter with LCL filter. The controller consists of PI controller applied in Synchronous References Frame to control inverter current. To analyze the controller, the system should be modeled. Unfortunately the system is too complex. Therefore, to simplify the system, it is converted into a balanced single-phase model. Furthermore, the complexity of system increased the difficulties of PI constants tuning. To tune the PI constants, controller loop is formulated as an objective function with constraints of transient responses and steady state error. GA (Genetic Algorithm) will optimize simultaneously to obtain optimal values for the constants of PI controller. The GA algorithm is simulated under MATLAB. Then, the optimized PI constants are verified in circuit of PSIM Simulator. Simulation results confirm the method could determine PI constants for the best response.
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