International Journal of Sustainable Transportation Technology


Structural Optimizations of a 12/8 Switched Reluctance Motor using a Genetic Algorithm

Sholahuddin, Umar (Electric Energy Conversion Research Laboratory, School of Electrical Engineering & Informatics, Institut Teknologi Bandung, Indonesia)
Purwadi, Agus (National Center for Sustainable Transportation Technology, Indonesia)
Haroen, Yanuarsyah (National Center for Sustainable Transportation Technology, Indonesia)

Article Info

Publish Date
29 Apr 2018

Abstract

Structural design optimization of 12/8 switched reluctance motor using single objectives genetic algorithms is explored. The objective of this optimization is to maximize the output torque using four parameters, namely rotor width of tooth root, rotor width of tooth tip, half of stator tooth width, and stator outer diameter. The result is the optimized motor has higher average torque of 25% compared to the initial design. The evaluation of motor model is finite element method. The 12/8 switched reluctance motor will be applied in a mini electric vehicle.

Copyrights © 2018




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Journal Info
International Journal of Sustainable Transportation Technology
Website

Abbrev

ijstt

Publisher

Institut Teknologi Bandung

Subject

Automotive Engineering Control & Systems Engineering Engineering Industrial & Manufacturing Engineering Transportation

Description

Aim IJSTT is an innovative open access journal for high-quality research in transportation and infrastructure system by focusing particularly on interdisciplinary and multidisciplinary research. IJSTT welcomes submissions from all disciplines, including physics, chemistry, engineering and related ...