New H<sub>∞</sub> Fuzzy MPPT Control of Solar Systems using Descriptor Fuzzy Approach
This paper presents a novel approach to develop a fuzzy maximum power point tracking (MPPT) controller that performs well in variable weather photovoltaic (PV) systems. The photovoltaic output voltage can be adjusted using a DC-DC boost converter. The last step is controlled by the duty cycle, which is essentially bounded between 0 and 1 . Using the Lyapunov approach and Descriptor Takagi-Sugeno (DT-S) fuzzy modelling, we establish the stabilisation conditions with H∞ performance represented as linear matrix inequalities (LMIs). Finally, we apply the proposed control to a solar system and the results of our simulation validate the efficiency of the presented methods.
Authors
- Bensalem Boukili (ORCID: https://orcid.org/0000-0002-9345-177X)
- Said Kririm (ORCID: https://orcid.org/0000-0001-6863-3072)
- Elhanafi Arjdal (ORCID: https://orcid.org/0000-0003-4085-5532)
- Abdeljabar Aboulkassim (ORCID: https://orcid.org/0009-0008-9773-9317)
- Naoual Armi
Institutions
- Université Ibn Zohr (MA)
- Sidi Mohamed Ben Abdellah University (MA)
Publication Details
- Published
- 2025-05-15
- DOI
- https://doi.org/10.1109/iraset64571.2025.11008169
- Primary Topic
- Photovoltaic System Optimization Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00