T-S Fuzzy Maximum Power Point Tracking Control of Solar Power Generation Systems

By Chian-Song Chiu. IEEE transactions on energy conversion, 2010

276 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment

View Paper: https://www.semanticscholar.org/paper/28a45ec4ed200036c4686d3645bd800b59080020

How researchers see this paper

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

In Control and Systems Engineering

1. Frede Blaabjerg
2. Mohammad Hassan Khooban
3. Rached Dhaouadi
4. Navid Vafamand
5. Ahmad Al Nabulsi
6. Mohsen Rakhshan
7. Xiongfei Wang
8. Friedrich Wilhelm Fuchs

In Electrical and Electronic Engineering

1. Frede Blaabjerg
2. Mohammad Hassan Khooban
3. Rached Dhaouadi
4. Navid Vafamand
5. Ahmad Al Nabulsi
6. Mohsen Rakhshan
7. Xiongfei Wang
8. Huai Wang

In Renewable Energy, Sustainability and the Environment

1. Frede Blaabjerg
2. Mohammad Hassan Khooban
3. Rached Dhaouadi
4. Navid Vafamand
5. Ahmad Al Nabulsi
6. Mohsen Rakhshan

Citations in the corpus

• Maximum Power Point Tracking Control of Photovoltaic Systems: A Polynomial Fuzzy Model-Based Approach (2018, methodology): “The obtained results of the proposed approach and [10], [25], and [36] are given in Table I.”
• Efficiency Optimization of a DSP-Based Standalone PV System Using Fuzzy Logic and Dual-MPPT Control (2012, methodology): “Other methods such as the incremental Conductance (INC) technique [28]–[31], the neural network (NN) technique [32]–[34] and fuzzy logic controller technique [35]–[38] have been also widely reported.”