Title : Robust MPPT-based design and simulation of integrated solar PV–hydrogen production systems
Abstract:
This paper proposes a robust control framework for integrated solar photovoltaic– hydrogen (PV–H?) systems based on fuzzy logic control synthesized using Linear Matrix Inequalities (LMIs). The developed approach addresses the nonlinear and time-varying characteristics of PV modules, electrolyzers, and power electronic interfaces under changing environmental conditions. A Takagi–Sugeno fuzzy model is employed to represent the system dynamics across multiple operating regions, enabling accurate modeling of PV–electrolyzer interactions and system uncertainties.
The proposed fuzzy LMI-based controller is designed to achieve robust maximum power point tracking (MPPT) while ensuring stable and efficient hydrogen production. By formulating stability and performance constraints as LMIs, the controller guarantees closed-loop stability and robustness against disturbances such as solar irradiance fluctuations, temperature variations, and load changes. The control strategy is applied to different system configurations, including direct PV–electrolyzer coupling and power-electronic-assisted architectures.
Simulation results demonstrate that the proposed fuzzy LMI-based MPPT controller enhances energy conversion efficiency, improves coupling between the PV array and electrolyzer, and maintains stable electrolyzer operation over a wide operating range. The controller effectively handles nonlinearities and operating constraints without requiring precise system parameters, making it suitable for practical PV–H? applications. The proposed framework provides a systematic and scalable solution for robust control and optimization of renewable hydrogen production systems.
