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Implementation of four-quadrant DC Chopper for driver DC motor using Arduino Ridwan, Ainul; Yuhendri, Muldi
Journal of Industrial Automation and Electrical Engineering Vol. 2 No. 2 (2025): Vol 2 No 2 (2025): December 2025
Publisher : Department of Electrical Engineering Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/dz9ey776

Abstract

This study aims to design and implement a DC motor control system using a four-quadrant DC chopper to enhance motor operation flexibility and efficiency. Conventional DC motor control methods often suffer from high starting currents and limited speed control capabilities. The proposed system utilizes an H-Bridge chopper circuit controlled by MOSFETs with Pulse Width Modulation (PWM) signals generated by an Arduino Mega 2560 and programmed through MATLAB Simulink. The four-quadrant chopper enables motor operation in forward motoring, forward braking, reverse motoring, and reverse braking modes. Experimental results demonstrate that the system effectively regulates motor speed and direction while minimizing excessive inrush current. The test results indicate a direct correlation between PWM duty cycles and output voltage, validating the system’s ability to provide precise motor control. Furthermore, the integration of regenerative breaking enhances energy efficiency. This study provides a robust solution for DC motor control applications requiring bidirectional operation and dynamic speed adjustments
The Effectiveness of Using E-Learning as a Learning Media during the Covid-19 Pandemic Elda Permata Sari; Muldi Yuhendri
EDUTEC : Journal of Education And Technology Vol. 5 No. 1 (2021): September 2021
Publisher : STAI Miftahul Ula Nganjuk

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29062/edu.v5i1.306

Abstract

This study aims to determine the effectiveness of using E-learning as a learning medium during the COVID-19 pandemic in the January-June 2021 semester of the Technology and Vocational Education study program, Padang State University. This research is descriptive research with quantitative method. Data collection techniques using a questionnaire given via google form, where the data analysis technique is to see the achievement of the existing indicators. The subjects of this study were postgraduate students of technology and vocational education in the 2020 entry year of the Faculty of Engineering, Padang State University. Based on data analysis, it was found that quantitative data, indicators of learning objectives were seen that the respondent's achievement level (TCR) reached 77.20% with sufficient category. The indicator of learning infrastructure shows that the TCR reaches 82.07% with a good category. The indicator of the ability to use technology is seen that the TCR reaches 81.18% in the good category. The time efficiency indicator shows that the TCR reaches 81.93% with a good category. Indicators of learning outcomes seen that the TCR reached 86.70%. Thus, it can be concluded that the use of E-learning as a learning medium during the COVID-19 pandemic is categorized as effective, it can be seen from the results of research on 5 indicators, there are 4 indicators which are in good category and 1 is in sufficient category.
Design to optimize the location, number, and performance of dynamic voltage restorers using artificial neural networks Yulianta Siregar; Faizzufar Taqy; Mohd Najib Mohd Hussain; Hafizh Prihtiadi; Muldi Yuhendri
International Journal of Applied Power Engineering (IJAPE) Vol 15, No 2: June 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijape.v15.i2.pp793-807

Abstract

The need for electrical energy always increases from year to year. This means that the distribution system in the electric power system needs to pay attention to its level of stability and reliability. A low level of stability can cause disruption and result in losses. The system's stability and reliability can be increased by installing custom power devices (CPD) equipment such as a dynamic voltage restorer (DVR). In this research, the location, number, and performance of DVRs are optimized using an artificial neural network based on the voltage stability of the distribution network in the Sibolga Penyulang SB02 area. Based on the research results, buses 2, 12, 24, 27, and 35 are the best places to install DVRs, and the system will have five DVRs installed. A three-phase short circuit simulation was used to determine how feeder stability was impacted by DVR performance. Then, the voltage falls to 0.1770 p.u. during a disturbance and then rises to 0.8073 p.u., which is within the typical voltage limit of > 0.9 p.u. It means that DVRs restored the voltage fully to the acceptable threshold.
Co-Authors Adtrizal Lindo Agung Satria Ahyanuardi Ahyanuardi Al Amin, Athah Alham Ali ALWI, ZIKRI Anne Fadia Ikhfa Aprilianty, Resti Ari Anggawan Arief, Fashly Aslimeri Aslimeri, Aslimeri Asnil Asnil Aswaldi Alfaris Aswardi Aswardi Athaya Atsiq Aulia Rahman Azar Ihsan Azizah, Farah Azzikri, Muhammad Fadhel Candra Riawan, Dedet Citra Dewi Citra Dewi Diffa, Allif Khairul Doni, Dona Dori Yuvenda Dwi Junita, Revidadina Dwi Kurniawan, Bintang Dwi Saputra, Robi Efianti, Weli Eko Solihin Elda Permata Sari Elda Permata Sari Emilia Mustafa Fadhli Ranuharja Fahmi Idris Faizzufar Taqy Faradina, Nevi Farahilla, Wahyu Fatimah Hanifah Febri Angriawan Febri Rahmadi Firmansyah, M.Erdian Gatot Santoso Putra Gozi, Muhammad Habibullah Habibullah Hafizh Prihtiadi Hambali Hambali Hambali Hambali Hambali Hambali Haris Masrepol Hendra, Ayu Ikhfa, Anne Fadia Ikhsan Rifaldo Ikhwani Ikhwan Ilham Kurniawan Irma Husnaini Irvan Zakaria Candra Ishlah Fain Sanul Iskandar, Adrian Juli Sardi Khulkhairat, Delvira Kurnia Deca Nevil, Prayoga Larra Oktavia Lovella, Nadillah Luthfil Hirzan M Heycal Ridwan Maulana Rasiddin, Muhammad Maulana, Iqbal Dafri Maulida, Hilda Mauridhi Hery Purnomo Minsandi, Ayub Mirshad, Emilham Mochamad Ashari Mohd Najib Mohd Hussain Muhamad Ilham Esario Muhammad Padri Muhammad Rezky Muhammad Zein, Habibi Muhammad, Razi Muhammmad Zainul Fikri Muhibbudin, Muhibbudin Mukhaiyar, Riki Muskhir, Mukhlidi Nabila Binti Mohamed, Nur Nahydatul Hami Najmi, Muhammad Nila Gusriani Nugraha, Ksatria Olivia, Fanessa Peri Peri Purwantono, Purwantono Putra, Randi Purnama Rahma Putri, Nadila Rahmad, Rahmad Rizki Rahmat Hidayat Rahmawati Mayangsari Raihan Alfiansyah, Muhammad Randaka Saputra Randy Setiawan Randy Yonanda Pratama Rasyid, Hambali Reni Putri Mayenti Riadotul Jannah Ridwan, Ainul Rijeng Firanda Risfendra, Risfendra Romi Fadli Romi Fernandes Rotua Oktaviana Siahaan, Yosephine Salihul Fajri Saputra, Rifaldo Selfi Harowanti Shandy Oktafianto Pratama Simanullang, Aldi Simon Padri P Sonia Anjeli Sukardi, Sukardi Syafitri, Muharani Syafyutina, Rahmat Alwafi Syarah, Ullya Ta ali Taali, Taali Tri Yogi Putra Trivaldo Putra Ulandari, Putri Widya Anggraini Yanto, Doni Tri Putra Yelfianhar, Ichwan Yudi Ari Putra Yulia Dwi Satriani Yulianta Siregar