Experimental Validation of Modified Adaptive Fuzzy Control for Power Quality Improvement

被引：5
作者：
Hou, Shixi [1 ,2 ]
Chen, Chen [1 ,2 ]
Chu, Yundi [1 ,2 ]
Fei, Juntao [1 ,2 ]
机构：
[1] Hohai Univ, Jiangsu Key Lab Power Transmiss & Distribut Equip, Changzhou 213022, Peoples R China
[2] Hohai Univ, Coll IOT Engn, Changzhou 213022, Peoples R China
来源：
IEEE ACCESS | 2020年 / 8卷
基金：
中国国家自然科学基金;
关键词：
Active filters; Fuzzy control; Approximation error; Integrated circuits; Adaptation models; Power quality; Harmonic analysis; adaptive fuzzy control; adaptive estimation; active power filter; SLIDING MODE CONTROL; TRACKING CONTROL; FILTER; SYSTEMS;
D O I：
10.1109/ACCESS.2020.2994623
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This study aims to present a modified adaptive fuzzy control (MAFC) for power quality improvement, whereby adaptive fuzzy control with parameter adaptive capability is employed to emulate optimal control. Different from conventional fuzzy control-based current control method without analytical tools to guarantee basic performance criteria, high-performance control system can be realized using Lyapunov-based adaptive fuzzy control. Also, in order to compensate the fuzzy approximation error (FAE) in conventional fuzzy control, a modified adaptive fuzzy control with adaptive compensator is developed. Unlike the existing approaches, adaptive compensator can estimate the optimal value of FAE with no need of upper bound of FAE. Simulation and experimental results verify that proposed control strategies reveal superior performance under different conditions.
引用
收藏
页码：92162 / 92171
页数：10
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