Maximum power point tracking control of solar power generation systems based on type-2 fuzzy logic

Author(s):  
Shun Zhang ◽  
Tiechao Wang ◽  
Chengdong Li ◽  
Jianhong Zhang ◽  
Yan Wang
2011 ◽  
Vol 84-85 ◽  
pp. 120-124
Author(s):  
Shi Quan Shao ◽  
Ming Yin ◽  
Li Mei Xu ◽  
Yu Wang

This paper addresses a kind of maximum power point tracking (MPPT) control for a single solar power generation systems use the Takagi–Sugeno (T-S) fuzzy-model-based approach. In detail, we consider a dc/dc buck converter to regulate the output power of the photovoltaic panel array. First, the system is represented by the T-S fuzzy model. Next, give an approximate desire state of the photovoltaic panel array according to estimating calculate. Next, a fuzzy MPPT controller is proposed to achieve the given state. Then a popular traditional Perturbation & Observation Method (P&O) is used to change the given state. Finally, numerical simulation results will be given to demonstrate the performance of the proposed methods.


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