| Issue |
E3S Web of Conf.
Volume 469, 2023
The International Conference on Energy and Green Computing (ICEGC’2023)
|
|
|---|---|---|
| Article Number | 00089 | |
| Number of page(s) | 10 | |
| DOI | https://doi.org/10.1051/e3sconf/202346900089 | |
| Published online | 20 December 2023 | |
New fuzzy control design for photovoltaic system using LMI technique
1 Energy and Sustainable Development Research Team, H S T Guelmim, Morocco
2 Materials, Signals, Systems and Physical Modelling Laboratory, Faculty of Sciences, Agadir, Morocco
* Corresponding author: abdeljabar.aboulkassim@edu.uiz.ac.ma
The T-S Fuzzy model-based technique (T-S: Takagi-Sugeno) is used in this research to offer a new fuzzy state feedback control for solar systems with output charge. We discuss a DC-DC boost converter to manage the output power of a solar panel array under shifting meteorological circumstances. To reach optimal power point, a T-S reference model is employed to create a fuzzy state feedback control that must be tracked. Solving a series of linear matrix inequalities (LMIs) yields controller gains. Furthermore, the proposed solution reduces the oscillation disadvantage near the highest power point while simultaneously shortening the tracking time. Finally, simulation of the solar system employing the proposed state feedback control shows that the proposed approach is effective even in the face of climate change.
© The Authors, published by EDP Sciences, 2023
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