Jurnal Ilmiah Telsinas Elektro, Sipil dan Teknik Informasi
Vol 1 No 2 (2018)

PENGEMBANGAN FILTER AKTIFSHUNT MENGGUNAKAN ADAPTIVE NEURO FUZZY INFERENCE SYSTEM SEBAGAI REDUKSI HARMONISA MOTOR INDUKSI 3 FASA

Muhammad Alfianul Ikrom (Universitas Hang Tuah)
DPK Iradiratu (Universitas Hang Tuah)



Article Info

Publish Date
18 Nov 2018

Abstract

Non-linear loads installed in the power system will cause harmonic distortion. Harmonicdistortion in voltage and current waveforms can result in abnormal conditions in the electrical system, avariety of electrical equipment used one of them is an electric motor type motor induction. Inductionmotor is chosen because it has several advantages such as this motor is simple, cheap and easymaintenance. On the other hand induction motor 3 phase also generate harmonics. One way to solve thisharmonic problem is to use a shunt active filter. In this research will use active shunt filter which iscontrolled using Adaptive Neural Fuzzy Inference System so it is expected to have harmonic value orTotal Harmonic Distortion (THD) in accordance with international standard ie IEEE 519-1992.

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Journal Info

Abbrev

teknik

Publisher

Subject

Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering

Description

Papers published in this journal focus on or are related to the fields of Civil Engineering, Electrical Engineering, Informatics, and their sub-fields: Structure, Transportation, Geotechnical, Water Resources, Construction Management, Environmental, EngineeringPower/Energy System, Information ...