Analisa Gangguan Belitan Stator Pada Motor Brushless DC Menggunakan Matlab Simulink
Abstract
Motor Brushless Direct Current sebagai salah satu mesin listrik yang banyak digunakan di industri, ketika diberi pembebanan maka kecepatan motor akan berubah sehingga fungsi alih motor juga mengalami perubahan. Mekanisme kerusakan pada motor BLDC yang paling umum dapat dikategorikan menurut komponen utama mesin seperti gangguan pada belitan stator, rotor dan bearing. Gangguan pada bagian belitan stator hal ini disebabkan karena hubung singkat belitan stator.Maka pada penelitian ini membahas analisa gangguan pada bagian belitan stator dan dilakukan dalam beberapa variasi kondisi pembebanan dengan menggunakan software Matlab R2013a. Beban yang digunakan adalah tanpa beban,10 N.m dan 20 N.m Hasil dari data tersebut kemudian diolah menggunakan metode Fast Fourier Transform (FFT) digunakan untuk analisis arus stator dari domain waktu kedalam domain frekuensi. Data analisa berupa karakeristik nilai-nilai arus terhadap frekuensi. Deteksi gangguan belitan stator pada motor BLDC dilakukan dengan mengamati amplitudo pada frekuensi terjadinya gangguan belitan stator yang muncul disekitar frekuensi fundametal. Resolusi frekuensi digunakan untuk mengatur tingkat akurasi pengamatan amplitudo pada spectrum frekuensi. Rata – rata pada persentase tingkat keberhasilan deteksi hubung singkat belitan stator untuk pembebanan dan tanpa beban 94 %. Dampak positif adanya sistem analisa gangguan belitan stator dapat mengantisipasi kerusakan fatal pada motor BLDC.
Keywords
Full Text:
PDFReferences
Abduh, Muhammad, Iradiratu D.P.K, and Belly Yan Dewantara. 2019. “Deteksi Kerusakan Outer Race Bearing Pada Motor Induksi Menggunakan Analisis Arus Stator.” Seminar Nasional Inovasi dan Aplikasi Teknologi di Industri 1(2): 1–6.
Alham, Nur Rani, Dimas Anton Asfani, I. Made Yulistya Negara, and Belly Yan Dewantara. 2018. “Analysis of Load and Unbalance Voltage on Air Gap Eccentricity in Detection of Three Phase Induction Motor.” 2018 International Conference on Information and Communications Technology, ICOIACT 2018 2018-January: 566–71.
Diah, Iradiratu P.K. et al. 2019. “Decomposition Wavelet Transform as Identification of Outer Race Bearing Damage through Stator Flow Analysis in Induction Motor.” 2019 International Conference on Information and Communications Technology, ICOIACT 2019: 733–37.
Diwatelwar, Ketan P, and Soniya K Malode. 2018. “Fault Detection and Analysis of Three-Phase Induction Motors Using MATLAB Simulink Model.” : 1643–49.
DPK, Iradiratu, Belly Yan Dewantara, and Achmad Misfakul Janudin. 2019. “Deteksi Kerusakan Inner Race Bearing Menggunakan Motor Current Signature Analysis Berbasis Fast Fourier Transform.” Jurnal Teknik Elektro dan Komputer TRIAC 6(1): 6–9.
Hosseini, Saba M., Faezeh Hosseini, and Mostafa Abedi. 2019. “Stator Fault Diagnosis of a BLDC Motor Based on Discrete Wavelet Analysis Using ADAMS Simulation.” SN Applied Sciences 1(11). https://doi.org/10.1007/s42452-019-1449-5.
Jain, A M. 2017. “Modelling and Simulation of Three Phase Bldc Motor for Electric Braking Using Matlab / Simulink Principle and Operating.” (7): 48–53.
Kim, Kyung Tae, Jin Hur, and Gyu Hong Kang. 2011. “Inter-Turn Fault Analysis of IPM Type BLDC Motor Using Fault Impedance Modeling.” 8th International Conference on Power Electronics - ECCE Asia: “Green World with Power Electronics”, ICPE 2011-ECCE Asia: 2216–24.
Kim, K. H., B. G. Gu, and I. S. Jung. 2011. “Online Fault-Detecting Scheme of an Inverter-Fed Permanent Magnet Synchronous Motor under Stator Winding Shorted Turn and Inverter Switch Open.” IET Electric Power Applications 5(6): 529–39.
Kim, Kyung Tae, Seung Tae Lee, and Jin Hur. 2014. “Diagnosis Technique Using a Detection Coil in BLDC Motors with Interturn Faults.” IEEE Transactions on Magnetics 50(2): 2–5.
Lee, Seung Tae, and Jin Hur. 2017. “Detection Technique for Stator Inter-Turn Faults in BLDC Motors Based on Third-Harmonic Components of Line Currents.” IEEE Transactions on Industry Applications 53(1): 143–50.
Masudi, Nanang. 2014. “Desain Controller Motor Bldc Untuk Meningkatkan Performa (Daya Output) Sepeda Motor Listrik.”: 1–65.
Nayar, N. 2019. Model-based fault detection and diagnosis of BLDC motors working at variable speed using wavelet transform [Tesis]. The University of Texas at Austin
Park, Jun Kyu, and Jin Hur. 2016. “Detection of Inter-Turn and Dynamic Eccentricity Faults Using Stator Current Frequency Pattern in IPM-Type BLDC Motors.” IEEE Transactions on Industrial Electronics 63(3): 1771–80.
Rohan, Ali, Mohammed Rabah, and Sung Ho Kim. 2018. “An Integrated Fault Detection and Identification System for Permanent Magnet Synchronous Motor in Electric Vehicles.” International Journal of Fuzzy Logic and Intelligent Systems 18(1): 20–28.
Suganthi, P., S. Nagapavithra, and S. Umamaheswari. 2017. “Modeling and Simulation of Closed Loop Speed Control for BLDC Motor.” 2017 Conference on Emerging Devices and Smart Systems, ICEDSS 2017 (March): 229–33.
Tashakori, A., and M. Ektesabi. 2012. “Comparison of Different PWM Switching Modes of BLDC Motor as Drive Train of Electric Vehicles.” 6(7): 671–77.
Skora, Marcin, Pawel Ewert, and Czeslaw T. Kowalski. 2019. “Selected Rolling Bearing Fault Diagnostic Methods in Wheel Embedded Permanent Magnet Brushless Direct Current Motors.” Energies 12(21)
DOI: http://dx.doi.org/10.22373/crc.v5i1.7692
Refbacks
- There are currently no refbacks.
Copyright (c) 2021 Didit Lesto Kurniawan, Iradiratu Diah PK, Belly Yan Dewantara
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Circuit: Jurnal Ilmiah Pendidikan Teknik Elektro
P-ISSN 2549-3698
E-ISSN 2549-3701
Published by Electrical and Engineering Education Department, Tarbiyah and Teaching Learning Faculty, Universitas Islam Negeri Ar-Raniry, Banda Aceh, Indonesia
Email: jurnal.circuit@ar-raniry.ac.id
Creative Commons License
Circuit: Jurnal Ilmiah Pendidikan Teknik Elektro is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.