Tuning of Fuzzy Control Systems by Artificial Bee Colony with Dynamic Parameter Values Algorithm for Traction Power System
Küçük Resim Yok
Tarih
2023
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Springer Science and Business Media Deutschland GmbH
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Traction power supply systems are one of the main parameters for high-speed train transportation, which has become increasingly common recently. The system can be controlled by a combination of different techniques. Simulation modeling shows that traction power supply systems make it possible to improve the power quality and reduce power losses in traction substations. This study proposes a fuzzy control system (FCS) using the Sugeno inference system to control the traction power supply system. Artificial Bee Colony with Dynamic Parameter Values (ABC-DPV) algorithm was used in the parameter optimization of MFs and rule selection of the designed system. ABC-DPV is a version of ABC that dynamically updates the parameter values of the algorithm in the search process to improve the exploitation and exploration capability of the algorithm. The proposed FCS has been tested on samples obtained from the simulation results, and it produces reasonable solutions at negligible error levels. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Açıklama
Anahtar Kelimeler
Artificial bee colony with dynamic parameter values algorithm, Fuzzy control systems, Traction power system
Kaynak
Studies in Fuzziness and Soft Computing
WoS Q Değeri
Scopus Q Değeri
N/A
Cilt
423