Induction Motor Monitoring System Base on Fuzzy Logic Controller

  • Prof. Rukmi Sari Hartati [SCOPUS ID: 6508088351, h-index: 2] Electrical Engineering Udayana University
  • Ida Bagus Gede Manuaba Universitas Udayana
  • I Made Mataram Universitas Udayana

Abstract

Squirrel cage induction motor is an AC electric motor that is most widely used in industry. This type of motor is chosen because it does not have a commutation brush, and its construction is strong, so it can withstand large, easy flow surges for repair and maintenance. The problem that often occurs is the imbalance of supply voltage which causes motor efficiency to decrease. An imbalance of voltage will result in a current not equal. As a result of phase currents that are much larger than other phases result in an increase in temperature and speed on the motor. This research was conducted to monitor the induction motor so that it can determine the condition of the motor when receiving a voltage imbalance.


The method used in the induction motor condition monitoring system is the fuzzy logic method. Parameters that can be monitored are categorized into three conditions: normal (good) motor condition, damage (serious) and serious damage.

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References

[1] Sinaga, Ronald P., “Pengaruh Tegangan Tidak Seimbang Terhadap Torsi Start-Torsi Maksimum Motor Induksi Tiga Phasa Starting Langsung”. Universitas Sumatra Utara, 2011.
[2] Dahono, P. A., "A very large ratio dc-dc power converter.", 2011: 36-36.
[3] Zeraoulia, M., “A Simple Fuzzy Logic Approach for Induction Motors Stator Condition Monitoring”. France: University of Western Brittany Rue de Kergoat, 2005.
[4] Mirabbasi, Davar. Effect of Unbalanced Voltage on Operation of Induction Motors and Its Detection. Ahvaz, Iran : Shahid Chamran University.
[5] Wildi, Theodore. 2002. Elektrical Machines, Driver, and Power System Fifth Edition. Penerbit: Prentice Hall.
[6] Kusumadewi, S. 2004. Aplikasi Logika Fuzzy Untuk Pendukung Keputusan. Yogyakarta : Graha Ilmu.
[7] Ballal, M.S. 2008. Fuzzy System for the Detection of Power Quality Performance on Induction Motor. India: Maharashtra Statet Electricity Transmission Co.Ltd.
[8] Standar Perusahaan Listrik Negara D5.004-1: 2012. Power Quality (Regulasi Harmonisa, Flicker Dan Ketidakseimbangan Tegangan).
Published
2020-02-29
How to Cite
SARI HARTATI, Prof. Rukmi; MANUABA, Ida Bagus Gede; MATARAM, I Made. Induction Motor Monitoring System Base on Fuzzy Logic Controller. Journal of Electrical, Electronics and Informatics, [S.l.], v. 4, n. 1, p. 15-19, feb. 2020. ISSN 2622-0393. Available at: <https://ojs.unud.ac.id/index.php/jeei/article/view/51204>. Date accessed: 02 dec. 2024. doi: https://doi.org/10.24843/JEEI.2020.v04.i01.p03.