Control for the Fuel and Oxygen Flows of the Solid Oxide Fuel Cell by two Types of Fuzzy Adapve PID
| dc.contributor.author | BABAH MostafaSI ABDALLAH Marouane | |
| dc.contributor.author | SI ABDALLAH Marouane | |
| dc.contributor.author | ENCA/OUAGUENI Fayssal | |
| dc.contributor.author | CO.ENCA/HERIZI Abdelghafour | |
| dc.date.accessioned | 2025-07-20T10:34:38Z | |
| dc.date.available | 2025-07-20T10:34:38Z | |
| dc.date.issued | 2025-06-30 | |
| dc.description.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. | |
| dc.identifier.other | EL/030/25 | |
| dc.identifier.uri | https://repository.univ-msila.dz/handle/123456789/47376 | |
| dc.language.iso | en | |
| dc.publisher | University of Msila | |
| dc.subject | Solid Oxide Fuel Cell | |
| dc.subject | PID control | |
| dc.subject | Fuzzy Logic | |
| dc.subject | Type-1 | |
| dc.subject | Type-2 | |
| dc.subject | Anti-Windup | |
| dc.subject | Adaptive Control | |
| dc.subject | Hydrogen | |
| dc.title | Control for the Fuel and Oxygen Flows of the Solid Oxide Fuel Cell by two Types of Fuzzy Adapve PID | |
| dc.type | Thesis |