Sequential Parts Analysis Using Local Optimization Method for Hybrid Excitation Flux Switching Generator

Mostaman, Nur Afiqah and Sulaiman, Erwan and Jenal, Mahyuzie (2024) Sequential Parts Analysis Using Local Optimization Method for Hybrid Excitation Flux Switching Generator. Majlesi Journal of Electrical Engineering, 18 (1). pp. 253-263.

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Abstract

The Hybrid Excitation Flux Switching Generator (HEFSG) has gained significant popularity in recent times owing to its relatively simple remarkably efficient topology. To optimize the performance of the generator, recent advancements and emerging patterns in mathematical modeling and software simulation, along with the utilization of optimization techniques, have facilitated the development of a novel methodology for electrical machine design. This study investigates the configuration and optimization of a Hybrid Excitation Flux Switching Generator, focusing on the rotor, armature coil, and field excitation. The optimization process involves multiple sequences for each component, employing the Local Optimization Method as an iterative approach to determine the optimal sequence that yields the highest output efficiency. Through the investigation of six rotor sequences, two armature coil sequences, and two field excitation coil sequences, a detailed optimization process was conducted. Consequently, the final output voltage of the HEFSG gains a 1.10% increment of voltage compared to the initial outcomes. Several sequences have influenced the output voltage performance of the generator during the optimization process. Therefore, modifications to the design of the arrangement contribute to the expansion of the operational range of the generator.

Item Type: Article
Uncontrolled Keywords: Optimization, HEFSG, Generator, FSG, Rotor, Armature coil, Field Excitation Coil and LOM
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK2000-2891 Dynamoelectric machinery and auxiliaries. Including generators, motors, transformers
Divisions: Faculty of Electrical and Electronic Engineering > FKEE
Depositing User: Mr. Mohamad Zulkhibri Rahmad
Date Deposited: 01 Dec 2024 02:40
Last Modified: 01 Dec 2024 03:06
URI: http://eprints.uthm.edu.my/id/eprint/12115

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