Tuning of Fuzzy Control Systems by Artificial Bee Colony with Dynamic Parameter Values Algorithm for Traction Power System

Küçük Resim Yok

Tarih

2023

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

Sayı

Künye