基于蚁群算法的模糊控制器优化并网有源滤波器

B. Berbaoui, D. Saba, R. Dehini, T. Touahri, Y. Hammaoui, A. Dahbi, Mouedj Rachid, A. Babahadj
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引用次数: 0

摘要

针对整流设备系统、电源系统、家用电器等非线性负载注入的谐波,提出了一种最优模糊控制器(FLC-ACO)控制的并联有源电力滤波器(SAPF)方案。首先,根据模糊逻辑规则设计的控制器使系统具有基本的鲁棒性。在第二种情况下,采用蚁群算法实现隶属函数的最优调整和归一化增益。结果表明,与传统模糊控制器相比,该控制器具有较好的动态性能和控制性能,并在高校谐波电学部取得了成功。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimization of shunt active filter connected to electrical network system using fuzzy logic controller based on ant colony algorithm
This work presents the plan of most favourable fuzzy logic controller (FLC-ACO) - controlled shunt active power filter (SAPF) for harmonics compensation which is injected by nonlinear loads, such as rectifier equipment system, power suppliers, home appliances, ect. at the outset, the controller designed according to Fuzzy logic rules is such that the system is fundamentally robust. In the second case, the optimal adjustment of the membership functions and normalization gains are realized by using Ant Colony Optimization. The results illustrate the most excellent dynamic behaviour and performance control compared with conventional Fuzzy controller, as well as successful in dipping harmonic electrical department university.
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