OPTIMALISASI DESAIN YOKELESS AND SEGMENTED ARMATURE AXIAL FLUX PERMANENT MAGNETS UNTUK MEMINIMALISIR COGGING TORQUE DENGAN METODE GENETIC ALGORITHM

Yusak Hamonangan Riatmaja, . (2026) OPTIMALISASI DESAIN YOKELESS AND SEGMENTED ARMATURE AXIAL FLUX PERMANENT MAGNETS UNTUK MEMINIMALISIR COGGING TORQUE DENGAN METODE GENETIC ALGORITHM. Skripsi thesis, Universitas Pembangunan Nasional Veteran Jakarta.

This is the latest version of this item.

[img] Text
ABSTRAK.pdf

Download (172kB)
[img] Text
AWAL.pdf

Download (1MB)
[img] Text
BAB 1.pdf
Restricted to Repository UPNVJ Only

Download (254kB)
[img] Text
BAB 2.pdf
Restricted to Repository UPNVJ Only

Download (893kB)
[img] Text
BAB 3.pdf
Restricted to Repository UPNVJ Only

Download (467kB)
[img] Text
BAB 4.pdf
Restricted to Repository UPNVJ Only

Download (1MB)
[img] Text
BAB 5.pdf

Download (101kB)
[img] Text
DAFTAR PUSTAKA.pdf

Download (152kB)
[img] Text
DAFTAR RIWAYAT HIDUP.pdf
Restricted to Repository UPNVJ Only

Download (25kB)
[img] Text
LAMPIRAN.pdf
Restricted to Repository UPNVJ Only

Download (1MB)
[img] Text
ARTIKEL KI.pdf
Restricted to Repository staff only

Download (521kB)
[img] Text
HASIL PLAGIARISME.pdf
Restricted to Repository staff only

Download (10MB)

Abstract

The increasing adoption of Electric Vehicles (EVs) drives innovation in efficient and highpower-density traction motors, such as the Yokeless and Segmented Armature Axial Flux Permanent Magnet (YASA AFPM) motor. Despite its advantages in lightweight construction and high torque density, the YASA AFPM suffers from cogging torque, which causes vibrations and noise, particularly at low speeds. This study aims to minimize cogging torque in YASA AFPM by optimizing the magnet and stator geometry without significantly compromising motor performance. The methodology integrates 3D Finite Element Analysis (FEA) simulation with Response Surface Methodology (RSM) for mathematical modeling and Genetic Algorithm (GA) for the optimization process. The varied design parameters include inner (α) and outer (β) magnet shifting angles, air gap length (g), and stator slot opening (b0). This optimal design successfully reduced the cogging torque significantly from 0.6215 Nm in the baseline model to 0.1168 Nm, equivalent to a reduction of 81.31%. Although there is a slight decrease in efficiency from 93.4% to 92.9% due to the air gap widening, the overall motor performance is considered excellent with a much smoother torque profile, making this design more suitable for electric vehicle applications.

Item Type: Thesis (Skripsi)
Additional Information: [No. panggil 2210314074] [ Pembimbing 1: Ferdyanto} {Pembimbing 2: Armnsyah} {Penguji 1:Henry Binsar Hamonangan Sitorus} {Penguji 2 :Luh Krisnawati}
Uncontrolled Keywords: Electric Vehicle (EV), Permanent Magnet Synchronous Motor (PMSM), Axial Flux Permanent Magnet (AFPM), Yokeless and Segmented Armature (YASA).
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Fakultas Teknik > Program Studi Teknik Elektro (S1)
Depositing User: YUSAK HAMONANGAN RIATMAJA
Date Deposited: 23 Apr 2026 01:31
Last Modified: 23 Apr 2026 01:31
URI: http://repository.upnvj.ac.id/id/eprint/42842

Available Versions of this Item

  • OPTIMALISASI DESAIN YOKELESS AND SEGMENTED ARMATURE AXIAL FLUX PERMANENT MAGNETS UNTUK MEMINIMALISIR COGGING TORQUE DENGAN METODE GENETIC ALGORITHM. (deposited 23 Apr 2026 01:31) [Currently Displayed]

Actions (login required)

View Item View Item