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A Full-Bridge Bidirectional DC-DC Converter with Fuzzy Logic Voltage Control for Battery Energy Storage System Prasetyono, Eka; Sunarno, Epyk; Fuad, Muchamad Chaninul; Anggriawan, Dimas Okky; Windarko, Novie Ayub
EMITTER International Journal of Engineering Technology Vol 7, No 1 (2019)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (903.883 KB) | DOI: 10.24003/emitter.v7i1.333

Abstract

Renewable energy sources require an energy storage system because its are fluctuating and electricity producing at certain times, even sometimes not in accordance with the needs of the load. To maintain continuity of electricity, smart battery energy storage system is needed. Therefore, this paper of a full-bridge bidirectional DC-DC Converter (FB-BDC) with Fuzzy Logic Control (FLC) is designed and implemented for battery energy storage application. The FLC has error and delta error of voltage level as input and duty cycle of FB-BDC as output. The FB-BDC is controlled by a microcontroller ARM Cortex-M4F STM32F407VG for voltage mode control. The FB-BDC topology is selected becuase battery storage system needed isolated and need high voltage ratio both for step-up and step-down. The main purpose of FB-BDC to perform bidirectional energy transfer both of DC-Bus and battery. Moreover, FB-BDC controls the DC-Bus voltage according to referenced value. The power flow and voltage on DC-Bus is controlled by FLC with voltage mode control. The experiment result shows the ability of FLC  voltage mode control to control FB-BDC on regulate charging voltage with an error 1% and sharing voltage 1.5% form referenced value.
Pengaturan Kecepatan Motor Induksi Tanpa Sensor Kecepatan dengan Metoda Direct Torque Control Menggunakan Observer Recurrent Neural Network Sunarno, Epyk; Soebagio, Soebagio; Purnomo, Mauridhi Heri
Jurnal Teknik Elektro Vol 8, No 2 (2008): SEPTEMBER 2008
Publisher : Institute of Research and Community Outreach

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (262.771 KB) | DOI: 10.9744/jte.8.2.88-95

Abstract

This paper describes about development of sensorless control for three phase induction motor speed which is operated by Direct Torque Control (DTC). Induction motor speed is identified by an Observer. Current supply and Stator Voltage are ruquired by Observer to gain Motor Speed Estimation. Observer for motor speed identification is developed using Artificial Neural Network (ANN) Method and Recurrent Neural Network (RNN) learning algorithm. The simulation results using MathLab/Simulink show that on PI controller with Recurrent Neural Network (RNN) observer, there are the overshoot 7,0224%, rise time 0,0125 second and settling time 0,364 second with reference speed 77,9743 rad./sec. Abstract in Bahasa Indonesia: Penelitian ini membahas pengembangan kontrol pada kecepatan motor induksi tiga fasa tanpa sensor kecepatan (speed sensorless) yang dioperasikan dengan metoda Direct Torque Control (DTC). Kecepatan motor induksi diidentifikasi oleh suatu observer. Estimasi kecepatan motor oleh observer memerlukan masukkan arus dan tegangan stator. Observer untuk identifikasi kecepatan motor menggunakan metode Artificial Neural Network (ANN) dengan algoritma pembelajaran menggunakan Recurrent Neural Network (RNN). Hasil simulasi menggunakan matlab-simulink menunjukkan saat motor diberikan kecepatan referensi 77,9743 rad/detik terjadi overshoot 7,0224% , rise time 0,0125 detik dan settling time 0,364 detik. Kata Kunci: direct torque control, speed sensorless, recurrent neural network
Desain Baterai Charger Kendaraan Listrik dengan Metode Constan Current dan Constan Voltage Syechu Dwitya Nugraha; Nuva Choironi Ersha; Epyk Sunarno; Ony Asrarul Qudsi; Indra Ferdiansyah; Gigih Prabowo
Jurnal Teknologi Terpadu Vol 9, No 2 (2021): JTT ( Jurnal Teknologi Terpadu)
Publisher : Pusat Penelitian dan Pengabdian Kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32487/jtt.v9i2.1198

Abstract

Dalam makalah ini akan dijelaskan dan disimulasikan mengenai rangkaian Buck Converter sebagai charger baterai menggunakan software MATLAB. Sumber dari buck converter ini menggunakan sumber arus bolak balik yang telah disearahkan oleh rectifier. Dan keluaran dari buck converetr yaitu baterai. Sistem charging baterai disini menggunakan metode constant current - constant voltage. Dimana untuk mencapai arus dan tegangan yang konstan ini menggunakan kontrol fuzzy. Metode constant current – constant voltage ini dipilih dikarenakan metode ini yang paling sesuai dengan karakteristik baterai secara umum. Selain itu juga dengan metode ini akan mengurangi resiko cepat panasnya baterai selama proses charging. Sehingga, dengan metode ini akan menambah umur baterai tersebut. Dalam proses simulasi ini akan dilihat nilai tegangan dan arus selama proses charging. Pada simulasi juga dapat dilihat pengaruh dari kontrol fuzzy yang menyebabkan arus dan tegangan charging sesuai dengan setpoint. Hasil dari makalah ini yaitu bentuk kurva arus dan tegangan dari buck converter yang dikontrol dengan logika fuzzy sesuai dengan teori charging baterai Kata kunci : Buck Converter, Constan Current, Constan Voltage, Fuzzy Logic Controller
Penerapan Kontrol PI Pada Alat Pengaduk dan Pengukus Adonan Pudak untuk Meningkatkan Hasil Produksi Industri Rumah Tangga di Gresik Indra Ferdiansyah; Irianto Irianto; Epyk Sunarno
Jurnal Teknologi Terpadu Vol 8, No 2 (2020): JTT (Jurnal Teknologi Terpadu)
Publisher : Pusat Penelitian dan Pengabdian Kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32487/jtt.v8i2.935

Abstract

Abstrak       Seiring dengan semakin berkembangnya kemajuan teknologi di era modern ini, membawa manusia untuk terus melakukan inovasi-inovasi dan kreasi guna memanfaatkan kemajuan teknologi yang ada, khususnya dibidang perindustrian baik skala besar maupun industri rumahan. Dibidang perindustrian kebutuhan sistem kontrol yang efektif dan efisien sangat diperlukan untuk mempermudah, menghemat atau mempersingkat waktu kerja dan tenaga pada sebuah proses produksi. Dalam hal ini sebuah  plant yang akan digunakan adalah motor DC sebagai pengaduk dan heater sebagai pengukus pada proses industri rumahan pembuatan makanan khas Gresik “Pudak”. Adapun yang sering menjadi kendala dari industri rumahan adalah tidak mampu memenuhui permintaan dengan jumlah besar dan lamanya proses produksi.Solusi dari permasalah ini adalah merancang dan membuat alat produksi pudak secara semi-otomatis, dengan menggunakan kontrol Propotional Integral (PI) pada setiap sistemnya. Pada sistem yang diusulkan, proses pengadukan kecepatan motor dijaga secara konstan selama 10 menit dengan nilai parameter Kp=10 dan Ki=5. Setelah itu pada proses pengukusan suhu dijaga konstan sekitar 900C selama ± 90 menit,  dengan nilai Kp=75 dan Ki=5.0. Kemudian setelah seluruh proses selesai maka buzzer akan berbunyi sebagai tanda bahwa prsoses pembuatan pudak telah selesai. Kata kunci :  proses kontrol, industry rumah tangga, kontrol PI
Rancang Bangun Alat Pengering Eceng Gondok Untuk Bahan Kerajinan Tangan (Menggunakan Metode Tuning Controller Chien Regulator I dan Chien Servo I) Aqidah Ahya Nurlaily; Irianto Irianto; Epyk Sunarno
Jurnal Teknologi dan Manajemen Informatika Vol 3, No 2 (2017): Juli 2017
Publisher : Universitas Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (605.986 KB) | DOI: 10.26905/jtmi.v3i2.1522

Abstract

Hyacinth is a plant that can be utilized for the manufacture of various types of handicrafts, such as bags, sandals, souvenirs, and other furniture that has high art. In the process of making hyacinth crafts, it is considered in the process of drying. During this time, the hyacinth drying process still using conventional methods, which use solar energy which is dependent on weather conditions. Conventional drying methods relatively need long time, ie 7-10 days. So, that was designed hyacinth dryer that is not dependent on the weather and can be controlled with temperature sensors and weight sensor depend its set point. Hyacinth dryers use heater, blower and air circulation fan. The controller of the drying machine is Microcontroller ATMega 16 with PI Controll methods Tuning Controller Chien Regulator I with Kp = 4,55 and Ki = 0,3 and Tuning Controller Chien Servo I Kp = 2,65 and Ki = 0,156. Hyacinth drying with a dryer need time shorter than using the conventional drying method, ie 12 hours with stabil temperature 60ᵒC . With this dryer can dry 30 stems of hyacinth with initial weight 500g become dry hyacinth with weight ± 60g. Depends on the result of laboratory test, hyacint with dryer produce fiber content, water content, and ash content  that good enough.
A Full-Bridge Bidirectional DC-DC Converter with Fuzzy Logic Voltage Control for Battery Energy Storage System Eka Prasetyono; Epyk Sunarno; Muchamad Chaninul Fuad; Dimas Okky Anggriawan; Novie Ayub Windarko
EMITTER International Journal of Engineering Technology Vol 7 No 1 (2019)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (903.883 KB) | DOI: 10.24003/emitter.v7i1.333

Abstract

Renewable energy sources require an energy storage system because its are fluctuating and electricity producing at certain times, even sometimes not in accordance with the needs of the load. To maintain continuity of electricity, smart battery energy storage system is needed. Therefore, this paper of a full-bridge bidirectional DC-DC Converter (FB-BDC) with Fuzzy Logic Control (FLC) is designed and implemented for battery energy storage application. The FLC has error and delta error of voltage level as input and duty cycle of FB-BDC as output. The FB-BDC is controlled by a microcontroller ARM Cortex-M4F STM32F407VG for voltage mode control. The FB-BDC topology is selected becuase battery storage system needed isolated and need high voltage ratio both for step-up and step-down. The main purpose of FB-BDC to perform bidirectional energy transfer both of DC-Bus and battery. Moreover, FB-BDC controls the DC-Bus voltage according to referenced value. The power flow and voltage on DC-Bus is controlled by FLC with voltage mode control. The experiment result shows the ability of FLC  voltage mode control to control FB-BDC on regulate charging voltage with an error 1% and sharing voltage 1.5% form referenced value.
DESAIN SPWM SINGLE PHASE FULL BRIDGE INVERTER PADA SISTEM UNINTERRUPTIBLE POWER SUPPLY 500W Indra Ferdiansyah; Indhana Sudiharto; Epyk Sunarno; Mahbub Gusti Muhammad
Jurnal Arus Elektro Indonesia Vol 7 No 1 (2021)
Publisher : Fakultas Teknik, Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/jaei.v7i1.23438

Abstract

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.
Alat Pengukur Deviasi pada KWH Meter 3 Fasa berbasis PZEM 0047 dan Flame Sensor Indra Ferdiansyah; Epyk Sunarno; Putu Agus Mahadi Putra; Brilianti Qori' Avrila
Jurnal Teknologi Terpadu Vol 9, No 1 (2021): JTT ( Jurnal Teknologi Terpadu)
Publisher : Pusat Penelitian dan Pengabdian Kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32487/jtt.v9i1.1128

Abstract

In the maintenance of Measuring and Limiting Devices (APP) by replacing the kWh Meter on the old kWh meter, as well as P2TL efforts to examine customers who have the potential to commit violations or lack of billing in adjusting electricity rates. In this operation an error / deviation check will be performed on the kWh meter to determine the feasibility of the kWh meter. So far, the measurement of deviation on the kWh Meter 3 Phase is done manually so that it is considered less effective. With this deviation gauge kwh meter 3 phase measurement, meter change officers and P2TL field officers will be able to help in measuring the deviation in the 3 phase kWh meter. This tool reads the power of the kWh meter through the display of the led impulse indicator, then compares it with the power measurement using the metering module at the same time so that the deviation can be detected whether more or less from the meter class, because the measurement standards are based on the meter class. The results obtained from testing on a kWh meter with a grade of 0.5, obtained a deviation of less than 0.5 percent, which means the kWh meter is good because it is still awake in its class according to SPLN No.96 of 1993.Keywords: Deviation, Kwh Meter, Maintaining APP, P2TL 
Comparison Method of PI, PID and Fuzzy Logic Controller to Maintain Speed Stability in Single Phase Induction Motors Irianto Irianto; Farid Dwi Murdianto; Epyk Sunarno; Dewinta Dwi Proboningtyas
INTEK: Jurnal Penelitian Vol 8, No 1 (2021): April 2021
Publisher : Politeknik Negeri Ujung Pandang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31963/intek.v8i1.2687

Abstract

Induction motor speed control is one of the operating conditions that is often used so that feedback with a low error rate is required. To fulfill this, PI and PID controls have been implemented for single phase induction motors. This control has parameters, namely Kp, Ki and Kd. PI and PID controls can cover a variety of desired response conditions, but these controls still have weaknesses in the tuning process. The tuning process used still has a fairly large error value. So in this case we need an intelligent control to meet the desired motor speed response specifications. The performance of motor speed regulation was evaluated using a comparison between PI and PID control with Fuzzy in a closed loop. With a setting point of 1500 rpm, for PI control, with Kp = 7.32 and Ki = 0.005 can produce motor speeds up to 1499. While PID control with Kp = 0.95, Ki = 0.005 and Kd = 0.04 can produce similar speeds. 1492. Fuzzy control can produce an output of 1490 rpm. Fuzzy control is able to produce a settling time of 0.25 seconds and a steady error of 0.67%.
Desain dan Komparasi Kontrol Kecepatan Motor DC Safah Tasya Aprilyani; Irianto Irianto; Epyk Sunarno
Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Vol 7 No 2 (2020): Jurnal Ecotipe, Oktober 2020
Publisher : Jurusan Teknik Elektro, Fakultas Teknik, Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/jurnalecotipe.v7i2.1886

Abstract

The use of control is very necessary for regulating DC motor speed. In DC motor speed regulation, one type of control used is Proportional Integral (PI) control. The 4 types of methods for PI control used are the Ziegler Nichole method, Chien Servo 1, Chien Regulator 1, and analytical calculations that have been obtained from existing data. However, the control with PI 4, the method used as a comparison, has a stable speed response time that tends to be slow both from the value of the settling time, rise time, and steady-state. Therefore, the 4 PI control methods were compared with the use of fuzzy control. In comparing the 4 PI control methods and fuzzy control, there are several parameters as a comparison, namely maximum overshoot, steady-state, rise time, and settling time. The result of this comparison is that fuzzy control can produce better performance when compared to the 4 methods of PI control. Fuzzy control has a rise time value of 0.015 seconds, settling time value of 0.025 seconds with a speed of 2900 rpm, and a steady-state error of 3.33% without overshoot and oscillation.