Article Per Year (5 Year)
p-Index From 2021 - 2026
2.278
P-Index
This Author published in this journals
All Journal Journal of Industrial Automation and Electrical Engineering
Muldi Yuhendri
Department of Electrical Engineering, Faculty of Engineering, Universitas Negeri Padang, Indonesia
Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering

Published : 16 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 16 Documents
Search

 1   2 
Control and monitoring system of bio-mass weight feeder   equipment in Indarung V PT Semen Padang Bintang Dwi Kurniawan; Muldi Yuhendri
Journal of Industrial Automation and Electrical Engineering Vol. 2 No. 1 (2025): Vol 2 No 1 (2025): June 2025
Publisher : Department of Electrical Engineering Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/rzqhmm72

Abstract

The Industrial Revolution 4.0 encourages the application of intelligent technologies such as the Internet of Things (IoT) in industrial automation systems to improve efficiency, flexibility, and monitoring accuracy. This study aims to design and implement an IoT-based monitoring system integrated with the Siemens S7-1200 PLC on the biomass weight feeder tool at the Indarung V unit of PT Semen Padang. This system was developed to enable real-time and remote monitoring of equipment conditions, which previously could only be done from a local panel or control room. The design was carried out by combining ladder diagram programming on the TIA Portal and data visualization using Node-RED as an IoT platform. Testing was carried out in the laboratory through three main scenarios, namely variations in induction motor speed, alarm condition simulation, and connectivity testing between PLC, HMI, PC server, and PC client. The test results showed that the system was able to display speed and tool status data accurately with a delay time of less than one second. The indicator alarm successfully detected abnormal conditions and provided visual notifications appropriately. Connectivity between devices was also proven to be stable and synchronous during testing. With these results, this monitoring system is considered effective in supporting digital transformation in the industrial sector, especially in increasing the responsiveness and reliability of monitoring the biomass transportation process, and has the potential to be applied on a wider industrial scale
IoT based monitoring system of  power supplies using solar panel and PLN Athah Al Amin; Muldi Yuhendri
Journal of Industrial Automation and Electrical Engineering Vol. 2 No. 1 (2025): Vol 2 No 1 (2025): June 2025
Publisher : Department of Electrical Engineering Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/8wn0hq45

Abstract

The advancement of Internet of Things (IoT) technology has opened new opportunities in energy management, especially for power supply monitoring systems that combine solar panels and the PLN grid. This study designs and implements an IoT-based monitoring system to observe voltage levels of 5VDC, 12VDC, and 24VDC in real-time using INA219 sensors, a 20A PWM Solar Charge Controller, a 12V 5Ah battery, and a NodeMCU ESP32 connected to the Blynk application. The system features automatic switching from solar to PLN when abnormal conditions such as overcurrent (>100mA) or voltage drops occur. Testing under normal and fault conditions shows that the system effectively maintains stability, switches power sources automatically, and provides real-time notifications, demonstrating its efficiency and suitability as a reliable, environmentally friendly energy management solution
Maximum power control strategy of solar panel based on Artificial Neural Network using Quadratic Boost Converter Fanessa Olivia; Muldi Yuhendri
Journal of Industrial Automation and Electrical Engineering Vol. 2 No. 1 (2025): Vol 2 No 1 (2025): June 2025
Publisher : Department of Electrical Engineering Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jiaee.v2.i1.pp210-218

Abstract

This research proposes and implements a Maximum Power Point Tracking (MPPT) control system on solar panels using a quadratic boost converter controlled by a backpropagation-based Artificial Neural Network (ANN) algorithm. The system is designed to maximize the output power of a 2x50 WP solar panel by reading current and voltage data, then calculating the power change (ΔP) which is used as JST training input to produce the optimal duty cycle value. This value is then used to adjust the PWM signal that controls the operation of the converter. The testing was conducted using real hardware connected to the Arduino Mega 2560, and programming was done through MATLAB Simulink. The JST training results show a very low Mean Squared Error (MSE) and high prediction accuracy with a regression coefficient (R) value approaching 1. The system has proven capable of reaching a maximum power point (MPP) of 52 watts in just 21 seconds with minimal power fluctuations. Thus, this JST-based MPPT control system demonstrates efficient, accurate, and responsive performance in optimizing the output power of solar panels
DC motor speed control using two quadrant DC Chopper based on Sliding Mode Controller Fashly Arief; Muldi Yuhendri
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/jiaee.v2.i2.pp175-181

Abstract

DC motors are vital components in the industrial world, thanks to their ability to provide precise control over speed and torque. In various manufacturing processes, these motors are used to drive machines, conveyor systems, and other automated applications. However, the challenge faced is speed instability when the motor operates under variations in load and speed. To overcome this problem, this study focuses on controlling the speed of a DC motor using a two-quadrant DC chopper based on a Sliding Mode Controller (SMC). The SMC method has the ability to overcome disturbance models and provide consistent performance under dynamic conditions, making it very effective in  maintaining the performance of  a  DC motor control system in various operational situations. In addition, the SMC is able to  ensure the  output system can  track the  desired reference and generate a control signal that minimizes tracking errors. The control signal in the SMC consists of two components, namely the reach mode and the slide mode. The design process in this study includes programming the Arduino Mega 2560 microcontroller, and the implementation of  the  SMC  control  system  is  carried  out  using MATLAB Simulink. Simulation results show that the SMC-based control can maintain a stable motor speed despite significant changes in load and speed. Thus, this research makes a significant contribution towards the development of more effective DC motor control systems for industrial applications
Accuracy evaluation of position and speed control of Servo motor using PLC Revidadina Dwi Junita; Muldi Yuhendri
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/jiaee.v2.i2.pp212-217

Abstract

The focus of this study is on the accuracy of the SIMOTICS S-1FL6 servo motor control, which is operated using a Siemens S7-1200 PLC and a Sinamics V90 VSD, with the help of a Human Machine Interface (HMI). This study quantitatively examines the motor speed in achieving the desired position (0°-360° unidirectional and clockwise) at 10 and 100 RPM, as well as the rotation accuracy at 10 to 100 RPM. The position accuracy evaluation results indicate that while the system provides good pressure at 10 RPM, the accuracy there is significant at 100 RPM, especially during complex operations. In addition, the overall accuracy of the rotation speed generally indicates the system's ability to achieve the RPM goal, even if there are occasional fluctuations in the Speed Error resulting in overshoot or undershoot. Thus, the results of this accuracy testing indicate that the developed control system successfully controls the SIMOTICS S-1FL6 servo motor in real-time, resulting in a high level of accuracy and is suitable for applications that monitor pressure from low to high as well as the rate of return from low to high
Implementation of four-quadrant DC Chopper for driver DC motor using Arduino Ainul Ridwan; Muldi Yuhendri
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
Co-Authors Ainul Ridwan Aldi Simanullang Aslimeri Athah Al Amin Aulia Rahman Ayu Hendra Ayub Minsandi Bintang Dwi Kurniawan Bintang Dwi Kurniawan Delvira Khulkhairat Fanessa Olivia Fashly Arief Ilham Kurniawan Muhammad Maulana Rasiddin Muhammad Najmi Nevi Faradina Prayoga Kurnia Deca Nevil Rahmat Hidayat Razi Muhammad Resti Aprilianty Revidadina Dwi Junita Rifaldo Saputra Robi Dwi Saputra Ullya Syarah Wahyu Farahilla Widya Anggraini