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

页码：1533 / 1543

页数：11

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