@inproceedings{b151cf344951484d8c5dbc31aa836f22,
title = "Novel maximum power point tracker for PV systems using interval type-2 fuzzy logic controller",
abstract = "This work presents a novel photovoltaic (PV) system with an intelligent maximum power point tracking (MPPT) controller. This Intelligent PV system consists of a solar model, flyback converter, digital signal processor, and DC electronic load. The MPPT controller based on the interval type-2 fuzzy logic control (type-2 FLC) can achieve fast tracking of the maximum power point and prevents interference of noises. Experiment results indicate that the efficiency improved by the proposed type-2 FLC algorithm is 99.07% which is higher than those of fuzzy and incremental conductance (INC) algorithms.",
author = "Chuang, {Cheng Yan} and Chen, {Po Syun} and Hsu, {Chin Cheng} and Li, {Jhih Yu} and Chen, {Jiann Fuh} and Lin, {Chih Lung}",
note = "Funding Information: ACKNOWLEDGMENT This work was supported in part by the Advanced Optoelectronic Technology Center, National Cheng Kung University, Tainan, Taiwan, and the Ministry of Science and Technology of Taiwan under Projects of MOST 105-2218-E- Publisher Copyright: {\textcopyright} 2017 IEEE.; 3rd IEEE International Future Energy Electronics Conference and ECCE Asia, IFEEC - ECCE Asia 2017 ; Conference date: 03-06-2017 Through 07-06-2017",
year = "2017",
month = jul,
day = "25",
doi = "10.1109/IFEEC.2017.7992268",
language = "English",
series = "2017 IEEE 3rd International Future Energy Electronics Conference and ECCE Asia, IFEEC - ECCE Asia 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1505--1507",
booktitle = "2017 IEEE 3rd International Future Energy Electronics Conference and ECCE Asia, IFEEC - ECCE Asia 2017",
address = "United States",
}