Comparative analysis and statistical performance evaluation of fractional PID controllers in fuel cell choppers optimized with metaheuristic algorithms
Yazarlar (2)
Doç. Dr. Aykut Fatih GÜVEN
Yalova Üniversitesi, Türkiye
Giresun Üniversitesi, Türkiye
| Makale Türü | Özgün Makale |
| Makale Alt Türü | SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale |
| Dergi Adı | Neural Computing and Applications |
| Dergi ISSN | 0941-0643 Wos Dergi Scopus Dergi |
| Dergi Tarandığı Indeksler | SCI-Expanded |
| Dergi Grubu | Q1 |
| Makale Dili | İngilizce |
| Basım Tarihi | 02-2025 |
| Cilt No | 37 |
| Sayı | 6 |
| Sayfalar | 4585 / 4615 |
| DOI Numarası | 10.1007/s00521-024-10909-5 |
| Makale Linki | https://doi.org/10.1007/s00521-024-10909-5 |
| Özet |
| Fuel cells (FCs) are significant renewable energy sources that produce electrical energy, similar to photovoltaic solar panels and wind turbines. These cells use hydrogen as a fuel and produce pure water as waste, making them potential alternatives to batteries. This paper compares the parameters of a buck-type converter designed for use in fuel cell (FC) energy production systems. These parameters were optimized using five optimization algorithms. To ensure high quality, the converters that adjust the desired current and voltage values on the load must be controlled optimally. In this context, fractional-order PID (FOPID) controllers, which are advanced versions of standard PID controllers, were used to adjust the voltage of a load to its desired reference value. Five parameters (K |
| Anahtar Kelimeler |
| Fractional-order PID | Fuel cell | Henry gas optimization | Statistical analysis |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| SCOPUS | 7 |