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Advanced H∞ control approach for MPPT in photovoltaic systems using descriptor T-S fuzzy modeling

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  • Aboulkassim, Abdeljabar
  • Kririm, Said
  • Boutssaid, Rachid
  • Arjdal, El Hanafi

Abstract

This study investigates a novel Descriptor Takagi-Sugeno Fuzzy (DTSF) control approach for maximum power point tracking (MPPT) in photovoltaic (PV) systems under variable climatic conditions, including partial shading. The DTSF method is formulated using descriptor fuzzy modeling combined with the Lyapunov stability theory, ensuring H∞ performance through the resolution of linear matrix inequalities (LMIs). A key aspect of this approach lies in the precise regulation of the duty cycle, a parameter constrained between 0 and 1, which directly influences the output voltage of the DC-DC Boost converter. The DTSF controller is thus designed to dynamically adjust this duty cycle, enabling the system to reach and maintain the maximum power point with robustness and stability, even under disturbed conditions. To evaluate the effectiveness of the proposed DTSF approach, a comparative analysis is conducted against three established MPPT techniques: classical Perturb and Observe (P&O), Incremental Conductance (InCond), and standard Takagi-Sugeno Fuzzy (TSF) controllers. Simulation results demonstrate that the DTSF method achieves superior performance in terms of tracking accuracy, dynamic response, and robustness against irradiance fluctuations, temperature variations, and partial shading conditions, positioning it as a highly reliable solution for efficient MPPT in real-world PV applications.

Suggested Citation

  • Aboulkassim, Abdeljabar & Kririm, Said & Boutssaid, Rachid & Arjdal, El Hanafi, 2026. "Advanced H∞ control approach for MPPT in photovoltaic systems using descriptor T-S fuzzy modeling," Renewable Energy, Elsevier, vol. 256(PH).
    • Handle: RePEc:eee:renene:v:256:y:2026:i:ph:s0960148125022050
    DOI: 10.1016/j.renene.2025.124541
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    References listed on IDEAS

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    1. Celikel, Resat & Yilmaz, Musa & Gundogdu, Ahmet, 2022. "A voltage scanning-based MPPT method for PV power systems under complex partial shading conditions," Renewable Energy, Elsevier, vol. 184(C), pages 361-373.
    2. Karuppasamy, C. & Senthil Kumar, C. & Ganesan, R. & Elamparithi, P., 2025. "Optimizing PID control for maximum power point tracking in photovoltaic systems under variable and partial shading conditions," Renewable Energy, Elsevier, vol. 246(C).
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