Epyk Sunarno
Jurusan Teknik Elektro FTI, Institut Teknologi Sepuluh Nopember Surabaya

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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 | 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
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.