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All Journal International Journal of Electrical and Computer Engineering Teknika: Jurnal Sains dan Teknologi EMITTER International Journal of Engineering Technology JURNAL NASIONAL TEKNIK ELEKTRO JETT (Jurnal Elektro dan Telekomunikasi Terapan) JTT (Jurnal Teknologi Terpadu) JURNAL INTEGRASI Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control JTERA (Jurnal Teknologi Rekayasa) INOVTEK POLBENG Techne : Jurnal Ilmiah Elektroteknika INTEK: Jurnal Penelitian IJITEE (International Journal of Information Technology and Electrical Engineering) Budimas : Jurnal Pengabdian Masyarakat Jurnal Pengabdian kepada Masyarakat Jurnal Nasional Teknik Elektro dan Teknologi Informasi Jurnal Rekayasa elektrika Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering)
Eka Prasetyono, Eka
Politeknik Elektronika Negeri Surabaya
Religion Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mechanical Engineering Public Health Social Sciences Other

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Journal : JTT (Jurnal Teknologi Terpadu)

 1 
Soft Starting dengan Redaman Arus Starting Pada Motor BLDC Ony Asrarul Qudsi; Eka Prasetyono; Indra Ferdiansyah; Syechu Dwitya Nugraha; Era Purwanto
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.v8i2.934

Abstract

Jurnal ini menyajikan desain rinci dan implementasi teknik pengaturan akselerasi pada motor BLDC untuk soft starting dengan redaman arus. Pada umumnya, arus sangat tinggi saat motor melakukan akselerasi terlebih lagi pada kondisi pengawalan (starting). Hal ini dapat menyebabkan penggunaan energi menjadi tidak efisien. Pada penelitian diusulkan sebuah desain pengaturan akselerasi motor BLDC dengan metode six-step PWM yang akan mengendalikan inverter tiga fasa. Sensor hall effect digunakan sebagai sinyal masukan untuk mikrokontroler dan digunakan untuk mengatur sinyal luaran PWM untuk proses swtching/pensaklaran pada mosfet. Pada penelitian ini digunakan mikrokontroler STM32F407. Pengujian telah dilakukan dengan dua kondisi yaitu tanpa pembatasan arus dan dengan pembatasan arus dengan set point 250 rpm. Hasil menunjukkan pada kondisi tanpa pembatasan arus, waktu akselerasi cukup cepat dengan arus starting 44A, sedangkan ketika pada kondisi dengan pembatasan arus sebesar 22A, waktu akselerasi lebih lambat 2 detik namun rata-rata arus starting 22A.
Implementation of Fast Fourier Transform and Artificial Neural Network in Series Arc Fault Identification and Protection System on DC Bus Microgrid Dimas Okky Anggriawan; Epyk Sunarno; Eka Prasetyono; Suhariningsih Suhariningsih; Muhammad Fauzi
Jurnal Teknologi Terpadu Vol 11, No 2 (2023): 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.v11i2.1869

Abstract

A microgrid is a cluster of electrical sources and loads that are interconnected and synchronized. Microgrid operation is typically divided into two modes, isolated or connected to the grid with a single or standalone control system. In this context, it can enhance the reliability and quality of electricity supply for connected customers. When using a microgrid system, it is important to consider the risk of series arc faults. Series arc faults are sudden bursts of flames resulting from ionization of gas between two electrode gaps. These faults can occur due to manufacturing defects, installation Errors, aging, or corrosion on conductor rods, leading to imperfect connections. Detecting series arc faults in DC microgrid system operations can be challenging using standard protective devices. Failure in the protection system can pose risks of fire, electrical shock hazards, and power loss in the DC microgrid.Therefore, a device has been designed to detect series arc faults by utilizing the fast Fourier transform method and artificial neural network, which function to analyze DC signal and make decisions when faults occur by examining the average sum of current frequency values during normal and fault conditions. In this study, the average sum of current frequency values during normal conditions was found to range from 0.35437 to 0.36906 A, while during fault conditions, it ranged from 0.21450 to 0.22793 A, with an average protection identification time of 1087 ms and an ANN output accuracy of 99.98%.
Co-Authors Achmad Luki Satriawan Aditya Ilham Pradana Ahmad Alvi Syahrin Ahmad Firyal Adila Aidin Amsyar Aji Akbar Firdaus Akhmad Puryanto Alwi Daffa` Rosydi Amsyar, Aidin Anang Budikarso Anang Budikarso Anang Tjahjono, Anang Arman Jaya Ashary, Wima Audya Elisa Rheinanda Bambang Sumantri Diah Septi Y. Diah Septi Yanaratri Diah Septi Yanaratri Dimas Okky Dimas Okky Anggriawan Endro Wahjono Endro Wahjono, Endro Epyk Sunarno Era Purwanto Evi Nafiatus Sholikhah Farid Dwi Murdianto Febi Ariefka Septian Putra Ferdiansyah, Indra Fuad, Muchamad Chaninul Gilang Andaru Trinandana Habibi, Muhammad Nizar Hazlie Mokhlis Hendik Eko H Suharyanto Imam Dui Agusalim Indhana Sudiharto Irianto Irianto Lucky Pradigta Lucky Pradigta S.R. Luki Septya Mahendra Luluk Badriyah M Chaninul Fuad Mike Yuliana Mochamad Ari Bagus Nugroho Mochamad Ilham Zamzami Moh. Zaenal Efendi Mohammad Zaenal Efendi Mokhamad Firdaus Karyapraja Mokhamad Zuhal Muflih Muchamad Chaninul Fuad Muhammad Fauzi Muhammad Khanif Khafidli Muhammad Miftahuddin Nancy Rahayu Novie Ayub Windarko Nugroho, Syechu Dwitya Pradana, Aditya Ilham Pradigta S.R., Lucky Qudsi, Ony Asrarul Rachma Prilian Eviningsih Ragil Wigas Wicaksana Rizky Fatur Rochman Rusli, Muhammad Rizani Safira Fitria Devi Septi Y., Diah Sofyan Muhammad Ilman Sri Wahyudi Suhariningsih Suhariningsih sutedjo Sutedjo Sutedjo Sutedjo Syechu Dwitya Nugroho Wicaksana, Ragil Wigas Wima Ashary