@inproceedings{f73a89471c584f65b8c062d4e40ec3c4,
title = "Fuzzy Logic Control Strategy for Axial Flux Permanent Magnet Synchronous Generator in WHM 1.5KW",
abstract = "This study presents the uses of Fuzzy control for AFPMSG (Axial Flux Permanent Magnet Synchronous Generator), which it is implemented on a Wheel Hub Motor (WHM) 1.5KW. The use of Fuzzy aims to stabilize the voltage used for charging batteries in electric vehicles. Electric vehicles today have a shortage in mileage. This research optimizes the WHM function for driving and also to charging with AFPMSG Fuzzy control. AFPMSG was made on the WHM stator and magnets on the WHM cover. The type of generator is used without a core on the coil. The generator has been simulated using MATLAB and FEM. The simulation results show a maximum voltage of 24 Volts at a speed of 1000 RPM. The system used for Fuzzy input is the speed and distance of the motor. The resulting output is a voltage. Fuzzy control is used for the stability of the charging system in electric vehicles. The research is presented in the form of simulations and field tests.",
keywords = "AFPMSG, Charging, Fuzzy Logic, Wheel Hub Motor",
author = "Demas Yangindrajat and Guntur, {Harus Laksana}",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 6th IEEE International Conference on Cybernetics and Computational Intelligence, CyberneticsCom 2022 ; Conference date: 16-06-2022 Through 18-06-2022",
year = "2022",
doi = "10.1109/CyberneticsCom55287.2022.9865461",
language = "English",
series = "Proceedings - 2022 IEEE International Conference on Cybernetics and Computational Intelligence, CyberneticsCom 2022",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "439--444",
booktitle = "Proceedings - 2022 IEEE International Conference on Cybernetics and Computational Intelligence, CyberneticsCom 2022",
address = "United States",
}