Analisa Perbandingan Rangkaian Star – Delta Dengan Inverter Menggunakan Metode ANN Pada Motor Fan PT. Indocement Tunggal Prakarsa Tarjun

Gunoro, Ayodya Maulana (2022) Analisa Perbandingan Rangkaian Star – Delta Dengan Inverter Menggunakan Metode ANN Pada Motor Fan PT. Indocement Tunggal Prakarsa Tarjun. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Motor induksi 3 fasa merupakan komponen penggerak yang paling banyak dipergunakan pada dunia industri. Permasalahan yang ada pada motor induksi ialah pada saat start motor, arus starting motor dapat mencapai lima kali sampai tujuh kali dari arus nominalnya. Penyebab adanya arus starting tinggi pada motor karena motor listrik membutuhkan torsi awal yang besar agar dapat melawan inersianya dan inersia bebannya darikeadaan diam. Akibat arus starting yang tinggi, menyebabkan Konsumsi daya pada motor induksi lebih besar, hal tersebut menyebabkan pemborosan energi listrik. Untuk mengatasi permasalahan tersebut dibutuhkan suatu cara untuk menghemat energi listrik. Salah satu cara untuk menghemat pemakaian energi listrik pada pengoperasian motor induksi tiga phasa adalah menggunakan rangkaian star delta dan Inverter Variable Frequency Drive. Penelitian ini bertujuan untuk menganalisa efisiensi pemakaian daya listrik rangkaian star delta dan Inverter variable frequency drive dengan metode Artificial neural network. Metode penelitian yang akan digunakan dimulai dengan studi litaratur,pengambilan data, pra proses data, perancangan simulasi pada software matlab,membandingkan dan menganalisa data yang diperoleh.Hasil dari penelitian ini menunjukan jika metode star delta memiliki arus starting yang lebih stabil dibanding inverter. Namun Inverter VFD memiliki kelebihan dalam mengelola beban tinggi dan biaya investasi awal peralatan VFD jauh lebih mahal dibandingkan star delta. Dan dari penelitian ini didapatkan hasil efisiensi metode Star Delta hingga 8,5% dibanding metode VFD .
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The 3-phase induction motor is the most widely used driving component in the industrial world. The problem with induction motors is that when starting the motor, the motor starting
current can reach five to seven times the nominal current. The cause of the high starting current in the motor is because the electric motor requires a large starting torque in order to fight its inertia and load inertia from rest. Due to the high starting current, the power consumption of the induction motor is more significant, which causes a waste of electrical energy. To overcome these problems, we need a way to save electrical energy. One way to save electricity consumption in operating a three-phase induction motor is to use a star delta circuit and an Inverter Variable Frequency Drive. This study aims to analyze the efficiency of using
electric power in a star-delta circuit and a variable frequency drive inverter using the Artificial neural network method. The research method that will be used begins with a literature study, data collection, pre-processing of data, designing simulations in Matlab software, and comparing and analyzing the data obtained. The results of this study indicate that the star delta method has a more stable starting current than the inverter. However, the VFD inverter has the advantage of managing high loads, and the investment cost of VFD equipment is much more expensive than star delta. Moreover, from this research, the efficiency of the Star Delta method is up to 8.5% compared to the VFD method.

Item Type:	Thesis (Other)
Additional Information:	RSE 621.46 Gun a-1 2022
Uncontrolled Keywords:	Motor Induksi 3 Fasa, Rangkaian Star Delta, Inverter, Variable Frequency Drive (VFD), Artificial Neural Network, Motor Induksi 3 Fasa, Rangkaian Star Delta, Inverter, Variable Frequency Drive (VFD), Artificial Neural Network.
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK2785 Electric motors, Induction.
Divisions:	Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Electrical Engineering > 20201-(S1) Undergraduate Thesis
Depositing User:	- Davi Wah
Date Deposited:	20 Oct 2023 03:43
Last Modified:	20 Oct 2023 04:15
URI:	http://repository.its.ac.id/id/eprint/104910

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