Adaptive Fuzzy-Neural Fractional-Order Current Control of Active Power Filter with Finite-Time Sliding Controller

被引：66
|
作者：
Fang, Yunmei [1 ]
Fei, Juntao [1 ]
Cao, Di [1 ]
机构：
[1] Hohai Univ, Coll IoT Engn, Changzhou 213022, Peoples R China
来源：
INTERNATIONAL JOURNAL OF FUZZY SYSTEMS | 2019年 / 21卷 / 05期
基金：
美国国家科学基金会;
关键词：
Fuzzy-neural network; Fractional order; Terminal sliding control; CONTROL DESIGN; MODE CONTROL; SYSTEMS;
D O I：
10.1007/s40815-019-00648-4
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this research, an adaptive fuzzy-neural fractional-order current controller using a terminal sliding controller is developed to track ideal current of an active power filter (APF) with limited time control performance. First, an adaptive fractional-order finite-time controller using terminal sliding strategy is put forward to realize high precision and finite-time control properties with guaranteed stable sliding surface. Then a fuzzy-neural estimator is proposed to estimate the unknown APF system nonlinearities. Numerical analysis is provided to prove the validity of the proposed adaptive fuzzy-neural fractional-order terminal sliding controller to track the ideal current and suppress the harmonic distortion.
引用
收藏
页码：1533 / 1543
页数：11
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