Comparative Performance Evaluation of Fractional Fuzzy Inference System for A High-Order System

Cengiz M., Deniz F. N., Özgüven Ö.

2023 7th International Symposium on Innovative Approaches in Smart Technologies (ISAS), İstanbul, Türkiye, 23 - 25 Kasım 2023 identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1109/isas60782.2023.10391480
  • Basıldığı Şehir: İstanbul
  • Basıldığı Ülke: Türkiye
  • Anahtar Kelimeler: fractional fuzzy inference system, fuzzy logic controller, genetic algorithm
  • Sivas Cumhuriyet Üniversitesi Adresli: Evet

Özet

In this study, the effect of the Fractional Fuzzy Inference System (FFIS) on the performance of the fuzzy logic-based control system was examined, with comparisons made to both a typical fuzzy controller and a PID controller. Additionally, a Genetic Algorithm (GA) was utilized to fine-tune the universe of input and output variables for the Fuzzy Logic Controller (FLC) built with FFIS. A high-order system, in which control with classical methods is considered difficult, was chosen to be employed for the performance evaluation. As a result, it has been observed that the use of FFIS in controlling the high-order system leads to a more satisfactory control performance. This study demonstrates that FFIS has the capacity to enhance performance in fuzzy logic-based control systems and can serve as a more effective control strategy.