Control for the Fuel and Oxygen Flows of the Solid Oxide Fuel Cell by two Types of Fuzzy Adapve PID
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Date
2025-06-30
Journal Title
Journal ISSN
Volume Title
Publisher
University of Msila
Abstract
This 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.
Description
Keywords
Solid Oxide Fuel Cell, PID control, Fuzzy Logic, Type-1, Type-2, Anti-Windup, Adaptive Control, Hydrogen