Variable Universe Adaptive Fuzzy-PI Compound Control Applied in Maximum Power Point Tracking for Photovoltaic Energy Generation System

DOI10.1007/978-3-642-14831-6_67zbMATH Open1202.93072OpenAlexW1527767266MaRDI QIDQ3053418

Yiwang Wang, Fengwen Cao

Publication date: 28 October 2010

Published in: Communications in Computer and Information Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-642-14831-6_67

zbMATH Keywords

compound controlmaximum power point trackingphotovoltaic energy generation systemvariable universe adaptive fuzzy

Mathematics Subject Classification ID

Fuzzy control/observation systems (93C42) Application models in control theory (93C95) Adaptive control/observation systems (93C40)

Related Items (2)

Fuzzy cognitive network-based maximum power point tracking using a self-tuned adaptive gain scheduled fuzzy proportional integral derivative controller and improved artificial neural network-based particle swarm optimization ⋮ Maximum power point tracking in photovoltaic systems using indirect adaptive fuzzy robust controller

Recommendations

• Multiobjective maximum power tracking control of photovoltaic systems: T-S fuzzy model-based approach 👍 👎
• Maximum power point tracking in photovoltaic systems using indirect adaptive fuzzy robust controller 👍 👎
• Robust \(\mathcal{L}_1\) fuzzy adaptive controller for three-phase grid-connected photovoltaic system 👍 👎
• An efficient fuzzy logic control algorithm for photovoltaic maximum power point tracking under partial shading condition 👍 👎
• Decentralized adaptive neuro-fuzzy dynamic surface control for maximum power point tracking of a photovoltaic system 👍 👎
• Fuzzy observer-based control for maximum power-point tracking of a photovoltaic system 👍 👎

This page was built for publication: Variable Universe Adaptive Fuzzy-PI Compound Control Applied in Maximum Power Point Tracking for Photovoltaic Energy Generation System