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Design of an EBNN-PID based adaptive charge controller for variable DC charging applications Rifadil, Mochammad Machmud; Putra, Putu Agus Mahadi; Muklis, Amalia
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 4: December 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v16.i4.pp2634-2644

Abstract

This paper presents an adaptive charging system for lithium-ion batteries using an Elman backpropagation neural network (EBNN) integrated with a PID controller and a ZETA converter. The system dynamically identifies the battery type and adjusts the charging voltage accordingly. The EBNN model was trained using 1441 samples of initial current and voltage data, achieving a mean squared error (MSE) of 7.64×10⁻¹⁴. A ZETA converter enables both step-up and step-down voltage regulation, while the PID controller ensures stability toward the predicted setpoint. Simulations in Simulink were conducted on four lithium-ion battery types with setpoints of 4.4 V, 8.8 V, 14.4 V, and 21.6 V. The results show that the PID-regulated output voltage closely matches the target with a maximum deviation of ±0.05V and an average voltage error of 0.1725%. The system achieves fast response times between 0.015 and 0.033 seconds. Extended testing through 24 randomized trials confirmed consistent identification and regulation across varying battery types. These findings validate the proposed EBNN-PID-based charging system as a highly accurate, flexible, and efficient solution for managing lithium-ion battery charging in real-time embedded applications.
Design and Development of an Electric Stove for Wood Powder Roasting using Fuzzy Logic YAHYA CHUSNA ARIF; LUKI SEPTYA MAHENDRA; IZMI NURUL IZZAH; HENDIK EKO HADI SUHARYANTO; PUTU AGUS MAHADI PUTRA; LUCKY PRADIGTA SETIYA RAHARJA
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 13, No 3: Published July 2025
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v13i3.258

Abstract

Kampung Seni Grajen utilizes this wood dust waste to create high-value paintings through a manual roasting process, which requires significant time and intensive supervision. This study aims to develop an electric stove based on fuzzy logic to improve the efficiency of the wood dust roasting process. The electric stove employs a Band Heater as a heating element, controlled by an AC-AC Controller and fuzzy logic to regulate the temperature automatically. The system is also equipped with an agitator to ensure even heat distribution. Testing was conducted using both open-loop and closed-loop methods. In the open-loop testing, the input voltage directly affected the temperature, but the temperature increase was not always linear. The closed-loop testing demonstrated that the system could maintain a stable temperature in the range of 84°C to 87°C, with an error rate of 2.38%, despite slight discrepancies due to environmental factors or sensor tolerances. The roasting results are used to make Grajen paintings
Alat Pendeteksi Gangguan Dini Berbasis Suhu Pada Marshalling Kiosk Di Gardu Induk Menggunakan Media Informasi SMS Putu Agus Mahadi Putra; Moch. Reza Naufal Ifandar; Kadek Amerta Yasa; I Made Purbhawa; Farid Dwi Murdianto Murdianto; Andhik Ampuh Yunanto; Luki Septya Mahendra; Mochammad Machmud Rifadil
Majalah Ilmiah Teknologi Elektro Vol 25 No 1 (2026): (Januari - Juni) Majalah Ilmiah Teknologi Elektro
Publisher : Study Program of Magister Electrical Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MITE.2026.v25.01.p02

Abstract

Pada Gardu Induk terdapat Marshalling Kiosk yang berfungsi sebagai kontrol peralatan di Gardu Induk apabila dispatcher dan kontrol lokal gagal melakukan manuver, karena pada panel ini terdapat banyak sambungan serta komponen yang digunakan sebagai kontrol berpotensi terjadi overheat pada panel karena disipasi panas ataupun sistem pendingin rusak dimana berdasarkan IEC 61439 batas ambient temperatur yang diizinkan ialah 40°C, dan dapat terjadi gangguan lain berupa api yang dapat diakibatkan High Resistance Connection (HRC) karena sambungan longgar, gangguan – gangguan tersebut dapat menggangu saat manuver peralatan. Saat ini PT PLN belum memiliki alat yang mampu mendeteksi adanya gangguan pada panel Marshalling Kiosk oleh sebab itu pada penelitian ini dibuat alat yang mampu mendeteksi adanya gangguan berupa suhu menggunakan LM35, api menggunakan sensor api 5 channel, dan asap menggunakan sensor MQ2 pada Marshalling Kiosk dengan media informasi SMS dan lampu indikator sebagai penunjuk jenis gangguan serta buzzer sebagai alarm.