Fuzzy PI Gains Tuning By PSO And Genetic Algorithms Controls A Hybrid Indirect Matrix Converter

T. Ameur, A. Ameur, Atallah Banalia
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Abstract

In this paper, we study the performance of a power active filtering of the current perturbation using a hybrid indirect matrix with a three cell flying capacitance; this hybrid structure is controlled by a fuzzy PI controller in which it gains are tuned with the PSO algorithm and genetic algorithm (GA). In the first part, we present the full grid model with the perturbation source, as well as a detail of the hybrid structure. In the second part, we explain the current perturbation identification technique, and then we passed to gains tuning used algorithms. The simulation results by MATLAB, Simscap/sim power system code shows a good performance of the fuzzy PI gains tuning by obtaining a low THD value in the filtration process.
基于粒子群算法和遗传算法的模糊PI增益整定控制混合间接矩阵变换器
本文研究了采用三单元飞行电容混合间接矩阵对电流扰动进行功率有源滤波的性能;该混合结构由模糊PI控制器控制,其增益由粒子群算法和遗传算法调节。在第一部分中,我们给出了带有微扰源的全网格模型,以及混合结构的细节。在第二部分中,我们解释了当前的扰动识别技术,然后我们传递了增益调谐使用的算法。仿真结果表明,通过在滤波过程中获得较低的THD值,模糊PI增益调谐性能良好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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