BABAH MostafaSI ABDALLAH MarouaneSI ABDALLAH MarouaneENCA/OUAGUENI FayssalCO.ENCA/HERIZI Abdelghafour2025-07-202025-07-202025-06-30EL/030/25https://repository.univ-msila.dz/handle/123456789/47376This study aims to enhance performance of Solid Oxide Fuel Cells (SOFCs) by precisely controlling fuel and oxygen flow using two types of fuzzy adaptive PID controllers: Type- 1 and Type-2. dynamic model of SOFC was developed and traditional PID controller was combined with both fuzzy logic types. Type-2 fuzzy controller showed superior capability in handling uncertainty and noise compared to Type-1, albeit at cost of higher computational complexity. Simulation results revealed that fuzzy adaptive control especially using Type-2 logic greatly improves system response time, eliminates overshoot and enhances dynamic stability. Optimization techniques like Anti-Windup and differential forward algorithms were also applied to improve robustness. These findings contribute to advancing reliable and efficient SOFC systems for real-world applications.enSolid Oxide Fuel CellPID controlFuzzy LogicType-1Type-2Anti-WindupAdaptive ControlHydrogenThesis