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<![CDATA[Sistem Pengaman Motor Induksi 3 Phasa Terhadap Gangguan Unbalance Voltage Dan Overload ]]>
<![CDATA[Indhana Sudiharto, ]]>
<![CDATA[ Teknika Vol 10, No 2 (2009) ]]>
Publisher : <![CDATA[Teknika ]]>
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<![CDATA[Motor induksi 3 phasa merupakan jenis motor yang paling sering digunakan pada proses produksi di industri. Hal ini dikarenakan motor induksi memiliki beberapa keuntungan yang tidak dimiliki oleh motor DC, tetapi motor induksi 3 phasa sering mengalami terjadi gangguan Unbalance Voltage dan Overload. Gangguan tersebut mempunyai dampak yang sangat berbahaya bila dibiarkan berlarut-larut, karena arus yang mengalir sangat besar sehingga meningkatkan suhu dan dapat mengakibatkan motor induksi 3 phasa terbakar.Untuk mengatasi gangguan, maka diperlukan suatu sistem yang dapat mengamankan dari Unbalance Voltage sesuai standar ANSI Std C84.11989 dan Overload sesuai standar name plate Overcurrent Protection Relay CKR Series. Sistem pengaman bekerja dengan membandingkan nilai setting dan parameter tegangan serta arus yang disensor dari motor induksi 3 phasa sebagai beban. Dari pengujian sistem pengaman Unbalance Voltage dan Overload yang bekerja dengan membandingkan nilai setting antara arus 1.5 Ampere sampai 5 Ampere maka didapatkan prosentase error rata-rata 3.44 % untuk waktu trip kontaktor pada pengaman Overload dan tegangan antara 360 Volt sampai 380 Volt dengan prosentase Unbalance Voltage antara 0 % sampai 10.95 % pada pengaman Unbalance Voltage.
The 3 phase induction motor is a motor type most often used in production processes in industry. This is because the induction motor has several advantages that are not owned by a DC motor, but often also occur among other disturbance Unbalance Voltage and Overload in the 3 phase induction motor. The disturbance has a very harmful impact if allowed to drag on due to a very large current flow there by increasing the temperature and can lead to 3 phase induction motor burn. To overcome the interference, we need a system that can secure from Unbalance Voltage according to the standard ANSI Std C84.1-1989 and Overload Protection Relay Over current with name plate CKR Series. The security system works by comparing the value set point and voltage and current parameters of the outtakes from the 3 phase induction motor as load. From testing the security system Unbalance Voltage and Overload that works by comparing the current value of set point between 1.5 Ampere to 5 Amperes then obtained an average percentage error 3.44 % for the time trip on security contactors Overload and voltage between 360 Volts to 380 Volts with a percentage Unbalance Voltage between 0 % to 10.95 % in Unbalance Voltage safety.]]>
<![CDATA[Rancang Bangun Alat Penguji Karakteristik Pengaman Arus Lebih Berkapasitas Maximum ]]>
<![CDATA[Sutedjo, ]]>;
<![CDATA[Indhana Sudiharto, ]]>
<![CDATA[ Teknika Vol 11, No 1 (2010) ]]>
Publisher : <![CDATA[Teknika ]]>
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<![CDATA[
Abstrak
Mini Circuit
Breaker (MCB) dan Thermal Over Load(TOR) merupakan pengaman gangguan arus lebih
pada jaringan listrik, karena MCB dan TOR memiliki kinerja yang baik untuk
mengamankan jaringan listrik dari gangguan arus lebih. MCB maupun TOR perlu diuji secara berkala untuk
mengetahui karakteristik kondisi terbaru peralatan tersebut. Sehingga dapat
diketahui karakteristik waktu kerja yang baru.
Prinsip utama pengujian
karakteristik MCB atau peralatan pengaman arus lebih yang lain adalah mengalirkan arus yang bervariasi ke peralatan tersebut,
sehingga akan diketahui karakteristik waktu kerjanya. Pada umumnya pengujian
karateristik MCB melakukan pembebanan secara manual, merubah arus dengan cara merubah
beban dan menghitung waktu dengan pencatat waktu secara terpisah.
Pada penelitian ini dibuat rangkaian pengontrol
gelombang penuh satu fasa yang difungsikan sebagai peralatan penguji karakteristik
pengaman arus lebih yang bekerja secara otomatis. Rangkaian yang dapat digunakan
rangkaian pengontrol gelombang penuh satu fasa dengan beban resistif. Komponen
utama adalah dua buah SCR (Silicon Controlled Rectifier) yang dirangkai secara
bidirectional. Dan mikrokontroller sebagai pengatur besarnya arus yang
diinjeksikan dan mencatat waktu kerja/trip peralatan yang diuji
]]>
<![CDATA[Load Identification Using Harmonic Based on Probabilistic Neural Network ]]>
<![CDATA[Anggriawan, Dimas Okky]]>;
<![CDATA[Amsyar, Aidin]]>;
<![CDATA[Prasetyono, Eka]]>;
<![CDATA[Wahjono, Endro]]>;
<![CDATA[Sudiharto, Indhana]]>;
<![CDATA[Tjahjono, Anang]]>
<![CDATA[ EMITTER International Journal of Engineering Technology Vol 7, No 1 (2019) ]]>
Publisher : <![CDATA[Politeknik Elektronika Negeri Surabaya (PENS) ]]>
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DOI: 10.24003/emitter.v7i1.330
<![CDATA[Due to increase power quality which are caused by harmonic distortion it could be affected malfunction electrical equipment. Therefore, identification of harmonic loads become important attention in the power system. According to those problems, this paper proposes a Load Identification using harmonic based on probabilistic neural network (PNN). Harmonic is obtained by experiment using prototype, which it consists of microcontroller and current sensor. Fast Fourier Transform (FFT) method to analyze of current waveform on loads become harmonic load data. PNN is used to identify the type of load. To load identification, PNN is trained to get the new weight. Testing is conducted To evaluate of the accuracy of the PNN from combination of four loads. The results demonstrate that this method has high accuracy to determine type of loads based on harmonic load]]>
<![CDATA[Adaptive charging control using ANN-PID controllers on multiple DC loads with varying battery voltages ]]>
<![CDATA[Indhana Sudiharto]]>;
<![CDATA[Farid Dwi Murdianto]]>;
<![CDATA[Ayu Wulandari]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 13, No 1: March 2022 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v13.i1.pp620-630
<![CDATA[Various rechargeable electronic devices currently have batteries with different capacities and voltages, while the available chargers are generally fixed for one device. This is considered less effective because different types of electronic devices will require different battery chargers. Therefore, the adaptive power charge is needed to recharge batteries with different voltages and capacities through a single port by adjusting the type of load connected. This system uses buck converter with duty cycle settings through microcontrollers to lower the input voltage to variable output voltage. When the load is connected, the limit switch will be depressed and the system will start the duty cycle tracking process. The voltage will be increased gradually until the current is read at a certain value to identify the load. After the current reads the duty cycle stops tracking, then the current and voltage characteristics are used as input variables for the artificial neural network (ANN) algorithm to determine the target setpoint voltage to be executed by the proportional, integral and derivative (PID) controller. The designed adaptive power charge can identify the connected load accurately. The average ANN output error is 1.46e-4% and the average PID controller error is 6.4e-2%. The system can reach a steady state at 0.01 s.]]>
<![CDATA[Shunt Active Power Filter Untuk Peredaman Harmonisa Pada Inverter V/F Konstan Pengatur Kecepatan Motor Induksi Tiga Fasa ]]>
<![CDATA[Fahmi Naufala Mumtaz]]>;
<![CDATA[Indhana Sudiharto]]>;
<![CDATA[Ony Asrarul Qudsi]]>
<![CDATA[ Jurnal Teknologi Terpadu Vol 9, No 2 (2021): JTT ( Jurnal Teknologi Terpadu) ]]>
Publisher : <![CDATA[Pusat Penelitian dan Pengabdian Kepada Masyarakat ]]>
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DOI: 10.32487/jtt.v9i2.1176
<![CDATA[Pengemudian elektrik untuk motor induksi tiga fasa mampu menghemat biaya operasional di industri. Metode V/F konstan adalah pengaturan yang hanya mengatur besaran tegangan dan frekuensi pada motor induksi tiga fasa. Pada saat yang sama, inverter V/F konstan dapat menyebabkan harmonisa pada saat melakukan pengemudian elektrik dan harmonisa ini akan mengurangi faktor daya dengan meningkatkan total harmonic distortion (THD). Kehadiran harmonisa dalam sistem dapat berdampak negatif pada sistem tenaga dan dapat berpotensi merusak peralatan. Dalam artikel ini diusulkan suatu filter aktif yang mampu mengurangi harmonisa pada inverter V/F pengatur kecepatan motor. Filter aktif yang digunakan adalah jenis shunt active power filter (SAPF) dengan pengontrol injeksi arus berupa PWM Hysteresis Current Control dan pengontrol DC-link Voltage menggunakan Fuzzy Logic Controller (FLC). Hasil simulasi menunjukkan bahwa sebelum pemasangan SAPF, nilai THDi yang dihasilkan oleh inverter V/F masih belum memenuhi standar yang ditoleransi oleh IEEE 519 yaitu kurang dari 5%. Ketika menggunakan PI-SAPF, THDi yang dihasilkan bisa kurang dari 2,75% baik pada motor 370 W, 4000 W, maupun 7500 W. Sedangkan FLC-SAPF dapat meredam harmonisa lebih baik lagi, THDi yang dihasilkan kurang dari 0,6% baik pada motor 370 W, 4000 W, maupun 7500 W.]]>
<![CDATA[RANCANG BANGUN DYNAMIC VOLTAGE RESTORER (DVR) GUNA MENGURANGI TEGANGAN SAG DENGAN KENDALI LOGIKA FUZZY BERBASIS MIKROKONTROLER ]]>
<![CDATA[Deriz Caesar Okinanto]]>;
<![CDATA[Indhana Sudiharto]]>;
<![CDATA[Yahya Chusna Arif]]>
<![CDATA[ Prosiding SNST Fakultas Teknik Vol 1, No 1 (2015): PROSIDING SEMINAR NASIONAL SAINS DAN TEKNOLOGI 6 2015 ]]>
Publisher : <![CDATA[Prosiding SNST Fakultas Teknik ]]>
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<![CDATA[Gangguan tegangan sag dapat merugikan hingga tujuh kali lipat dibandingkan dengankerugian yang timbul gangguan kualitas daya lainnya. Untuk meminimalisir gangguantegangan sag, maka didesain suatu sistem Dynamic Voltage Restorer. Prinsip kerja DynamicVoltage Restorer (DVR) yaitu mendeteksi tegangan sag menggunakan sensor tegangan ACdengan menggunakan metode pembagi tegangan 2 kapasitor dengan resistansi 330kΩ dan220Ω, kemudian di klamper sehingga tegangan menjadi DC. Sensor tegangan terhubungdengan ADC pada mikrokontroler ARM STM32F407VG yang digunakan untuk mengontrolinjeksi tegangan. Ketika terjadi tegangan sag, maka inverter menginjeksi tegangan DC darisumber kapasitor ke beban yang terkena gangguan dengan menggunakan boostertransformator yang dihubung seri dengan tegangan sumber dan beban induktif. Inverter 1 fasadikendalikan menggunakan logika fuzzy berbasis mikrokontroler untuk mendeteksi magnitudetegangan sag.Kata kunci: Dynamic Voltage Restorer, Fuzzy logic controller, Single Phase Inverter.]]>
<![CDATA[RANCANG BANGUN SISTEM MONITORING BEBAN DAN INDIKATOR GANGGUAN PADA RUMAH MANDIRI BERBASIS MIKROKONTROLLER ]]>
<![CDATA[Donny Prasetyo Santoso]]>;
<![CDATA[Indhana Sudiharto]]>;
<![CDATA[Suryono Suryono]]>
<![CDATA[ Prosiding SNST Fakultas Teknik Vol 1, No 1 (2015): PROSIDING SEMINAR NASIONAL SAINS DAN TEKNOLOGI 6 2015 ]]>
Publisher : <![CDATA[Prosiding SNST Fakultas Teknik ]]>
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<![CDATA[Pengembangan pada sistem pembangkit energi tenaga surya saat ini berkembang sangat pesat. Tuntutan karena adanya keterbatasan sumber daya yang tidak dapat diperbaruhi,membuat panas dari matahari mulai digunakan sebagai sumber listrik. Pada sistem kelistrikan rumah mandiri ini berasal solar cell sebagai sumber energi alternatif yang digunakan sebagai charging baterai/accu. Dari accu yang dipasang 3seri+3parallel dihasilkan tegangan maksimal sebesar 96 volt DC(Direct Current) atau arus searah. Sistem monitoring rumah mandiri ini menggunakan sensor tegangan dan sensor arus sebagai konversi nilai ADC agar bisa terbaca oleh mikrokontroller. Sistem yang dimonitoring adalah kondisi baterai,energi charging yang terpakai,energi yang terpakai pada beban dan sistem pengaman tegangan lebih dan tegangan jatuh yang berupa relay yang diatur menggunakan mikrokontroller,sehingga apabila terjadi gangguan pada sistem arus searah maupun sistem AC(Alternating Current) atau arus bolak-balik tidak sampai merusak beban arus searah yang berupa lampu LED dan beban arus bolak-balik yang berupa kipas angin. Pada pengujian sensor arus,error terbesar dari perbandingan DC Supply dan pembacaan TFT(Thin Film Transistor) adalah 2,3% sedangkan pada sensor tegangan error terbesar adalah 2,2%. Kata kunci: Arus,kWh meter,Sistem Monitoring,Tegangan]]>
<![CDATA[Load Identification Using Harmonic Based on Probabilistic Neural Network ]]>
<![CDATA[Dimas Okky Anggriawan]]>;
<![CDATA[Aidin Amsyar]]>;
<![CDATA[Eka Prasetyono]]>;
<![CDATA[Endro Wahjono]]>;
<![CDATA[Indhana Sudiharto]]>;
<![CDATA[Anang Tjahjono]]>
<![CDATA[ EMITTER International Journal of Engineering Technology Vol 7 No 1 (2019) ]]>
Publisher : <![CDATA[Politeknik Elektronika Negeri Surabaya (PENS) ]]>
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DOI: 10.24003/emitter.v7i1.330
<![CDATA[Due to increase power quality which are caused by harmonic distortion it could be affected malfunction electrical equipment. Therefore, identification of harmonic loads become important attention in the power system. According to those problems, this paper proposes a Load Identification using harmonic based on probabilistic neural network (PNN). Harmonic is obtained by experiment using prototype, which it consists of microcontroller and current sensor. Fast Fourier Transform (FFT) method to analyze of current waveform on loads become harmonic load data. PNN is used to identify the type of load. To load identification, PNN is trained to get the new weight. Testing is conducted To evaluate of the accuracy of the PNN from combination of four loads. The results demonstrate that this method has high accuracy to determine type of loads based on harmonic load]]>
<![CDATA[DESAIN SPWM SINGLE PHASE FULL BRIDGE INVERTER PADA SISTEM UNINTERRUPTIBLE POWER SUPPLY 500W ]]>
<![CDATA[Indra Ferdiansyah]]>;
<![CDATA[Indhana Sudiharto]]>;
<![CDATA[Epyk Sunarno]]>;
<![CDATA[Mahbub Gusti Muhammad]]>
<![CDATA[ Jurnal Arus Elektro Indonesia Vol 7 No 1 (2021) ]]>
Publisher : <![CDATA[Fakultas Teknik, Universitas Jember ]]>
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DOI: 10.19184/jaei.v7i1.23438
<![CDATA[Indonesia has sufficient power resources provided by PLN. However, blackouts still occur frequently due to several reasons, such as disruption in transmission and distribution, especially when the weather is raining. This has an impact on customer inconvenience. To overcome this, several houses have used a backup power source in the form of a generator set that will be operated by a blackout. This solution turns out to cause noise that can interfere with user comfort. To increase user convenience, a system (Uninterruptible Power Supply) is proposed. The system there is a voltage sensor to detect a power outage. In addition, there is an SSR switch so that it can to switch main source to the UPS with a fast response time during a blackout. The inverter on UPS system uses the SPWM technique to produce a sine wave output, then the use of an LC filter to reduce ripple on the system. PID-based voltage control is used to maintain the output inverter by the setting value of magnitude amplitude. Based on the results of the test, the UPS can work during a blackout with a maximum power of 500W and the voltage constant at 215V. Keywords — Blackout, PI Controller , SPWM, UPS.]]>
<![CDATA[Design and Implementation of Buck Converter for Fast Charging with Fuzzy Logic ]]>
<![CDATA[Indhana Sudiharto]]>;
<![CDATA[Moch. Igam Rahadyan]]>;
<![CDATA[Ony Asrarul Qudsi]]>
<![CDATA[ JAREE (Journal on Advanced Research in Electrical Engineering) Vol 5, No 1 (2021): April ]]>
Publisher : <![CDATA[Department of Electrical Engineering ITS and FORTEI ]]>
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DOI: 10.12962/jaree.v5i1.146
<![CDATA[This research presents a battery charger design that can charge faster than using a PWM type solar charge controller (SCC). SCC is often operated when the battery capacity is 80% so that the charging current that can be provided is only 10% to 20% of the battery capacity. The battery charging method applied in this study uses the principle of fast charging by adjusting the value of the current and the output voltage value of the buck converter. Fast charging has its own characteristic, obviously, the charging rate that is greater than the usual charging method, which is up to 1C of the battery capacity. The principle of fast charging in this study uses the constant current / constant voltage method. This converter is designed with the ability to produce current by the charging rate of 1C from a 12Ah battery capacity of 12 A and an output voltage of 16.8 V. To ensure that the output of the converter matches the setpoint, the duty cycle value is adjusted using fuzzy control. Based on the results obtained from the simulation, the control of this study obtained an output current 12 Amperes with error ripple current around 8.3%. The SOC on this battery increased by 75.74% in 45 minutes.Keywords: fast charging, fuzzy, buck convreter]]>
