Design and robustness analysis of fuzzy PID controller for automatic voltage regulator system using genetic algorithm
Yazarlar (2)
Doç. Dr. Tufan DOĞRUER Tokat Gaziosmanpaşa Üniversitesi, Türkiye
Doç. Dr. Mehmet Serhat CAN Tokat Gaziosmanpaşa Üniversitesi, Türkiye
| Makale Türü | Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale) | ||
| Dergi Adı | Transactions of the Institute of Measurement and Control (Q3) | ||
| Dergi ISSN | 0142-3312 Wos Dergi Scopus Dergi | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | İngilizce | Basım Tarihi | 01-2022 |
| Cilt / Sayı / Sayfa | 44 / 9 / 1862–1873 | DOI | 10.1177/01423312211066758 |
| Makale Linki | http://dx.doi.org/10.1177/01423312211066758 | ||
| Özet |
| In this paper, a Fuzzy proportional–integral–derivative (Fuzzy PID) controller design is presented to improve the automatic voltage regulator (AVR) transient characteristics and increase the robustness of the AVR. Fuzzy PID controller parameters are determined by a genetic algorithm (GA)-based optimization method using a novel multi-objective function. The multi-objective function, which is important for tuning the controller parameters, obtains the optimal solution using the Integrated Time multiplied Absolute Error (ITAE) criterion and the peak value of the output response. The proposed method is tested on two AVR models with different parameters and compared with studies in the literature. It is observed that the proposed method improves the AVR transient response properties and is also robust to parameter changes. |
| Anahtar Kelimeler |
| automatic voltage regulator | controller design | Fuzzy PID controller | optimization method | robustness analysis |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Google Scholar | 79 |
| Scopus | 39 |
| Web of Science | 45 |