T-S fuzzy control for MPPT of photovoltaic pumping system-Reference-Cited by-同舟云学术

T-S fuzzy control for MPPT of photovoltaic pumping system

Published:2018-04-19 Issue:4 Volume:34 Page:2521-2533
ISSN:1064-1246
Container-title:Journal of Intelligent & Fuzzy Systems
language:
Short-container-title:IFS

Author:

Allouche Moez¹,Dahech Karim¹,Chaabane Mohamed¹,Mehdi Driss²

Affiliation:

1. Laboratory of Sciences and Techniques of Automatic Control and Computer Engineering (Lab-STA), National School of Engineering of Sfax, University of Sfax, Sfax, Tunisia

2. Laboratory of Computer and Automatic for System (LIAS), Poitiers National School of Engineering (ENSIP), University of Poitiers, Poitiers, France

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference17 articles.

1. Design optimization of photovoltaic powered water pumping systems;Ghoneim;Energy Conversion and Management,2006

2. Optimization of a photovoltaic pumping system based on the optimal control theory;Betka;Solar Energy,2010

3. Performance optimization of a photovoltaic induction motor pumping system;Betka;Renewable Energy,2004

4. A comprehensive review on energy efficiency enhancement initiatives in centrifugal pumping system;Kalaiselvan;Applied Energy,2016

5. H∞ output tracking control for nonlinear via T-S fuzzy model approach;Lin;IEEE Transactions on Systems, Man, and Cybernetics,2006

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Efficient and Fast Wind Turbine MPPT Algorithm Using TS Fuzzy Logic and Optimal Relation Methods;IEEE Latin America Transactions;2024-07

2. Intelligent power control of wind conversion system based on Takagi–Sugeno fuzzy model;International Journal of Circuit Theory and Applications;2022-12-19

3. A novel self-tuning type-2 fuzzy maximum power point tracking technique for efficiency enhancement of fuel cell based battery chargers;International Journal of Hydrogen Energy;2020-09

4. On accommodating the semantic-based interpretability in evolutionary linguistic fuzzy controller;Journal of Intelligent & Fuzzy Systems;2019-04-10