Fuzzy logic controller based SEPIC converter of maximum power point tracking

By A. Khateb, Nasrudin Abdul Rahim, Jeyraj Selvaraj, M. Uddin. Annual Meeting of the IEEE Industry Applications Society, 2012

297 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment

View Paper: https://www.semanticscholar.org/paper/af12baa27f6a3c7c763ffefd7ab934ddd91e8458

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Frede Blaabjerg

In Electrical and Electronic Engineering

1. Frede Blaabjerg
2. Mohammad Hassan Khooban
3. Navid Vafamand
4. Mohsen Rakhshan
5. Xiongfei Wang
6. Huai Wang
7. Marco Liserre
8. Friedrich Wilhelm Fuchs

In Renewable Energy, Sustainability and the Environment

1. Frede Blaabjerg
2. Mohammad Hassan Khooban
3. Navid Vafamand
4. Mohsen Rakhshan

Citations in the corpus

• Maximum Power Point Tracking Control of Photovoltaic Systems: A Polynomial Fuzzy Model-Based Approach (2018, methodology): “From Table I, one infers that all approaches provide almost the same steadystate errors; However, the dynamic response characteristic of the proposed DMP-based controller is enhanced, since in the proposed approach, the maximum power reference is directly computed and no steps in V and I are needed ”