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 
Constant Torque Control of Induction Motor Using Variable Frequency Drive Based on Internet of Things Ullya Syarah; Muldi Yuhendri
Journal of Industrial Automation and Electrical Engineering Vol. 1 No. 1 (2024): Vol 1 No 1 (2024): June 2024
Publisher : Department of Electrical Engineering Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/ards0v80

Abstract

Many industrial devices operate using movements operated by electric motors. One type of motor that is widely used in industry is the three-phase induction motor. In order for the motor to operate according to needs, the motor needs to be controlled, such as controlling the rotation speed, controlling the direction of rotation, braking and starting current. Induction motor control in today's industry often uses power converters packaged in the form of Variable Speed Drive (VSD) modules. The use of this VSD allows control of induction motors with various methods, such as the scalar method (constant Volt/Hertz) or the vector control method. The VSD module also allows remote control and monitoring of the motor using the internet, so that the reliability of motor control can be improved. This study proposes control and monitoring of induction motors using the Omron 3G3JX-A VSD based on the Internet of Things (IoT). The motor is controlled using the scalar method in a constant torque configuration, so that the motor can operate more efficiently. The control and monitoring system is designed using PLC Omron CP2E-N, VSD Omron 3G3JX-A with CX-Programmer software, Node-red and Web server for remote access on smartphones. The design of the three-phase induction motor control and monitoring system based on IoT was tested and validated through laboratory experiments. The test results show that the proposed motor control and monitoring system has worked well according to the objectives. The motor can be controlled remotely using a smartphone and also from a PC
Design and Implementation of Robot Abu Robocon Using Joystik Wireless Based on Extrasenory Percepsion Ayub Minsandi; Rifaldo Saputra; Bintang Dwi Kurniawan; Aldi Simanullang; Resti Aprilianty; Aulia Rahman; Delvira Khulkhairat; Muldi Yuhendri
Journal of Industrial Automation and Electrical Engineering Vol. 1 No. 1 (2024): Vol 1 No 1 (2024): June 2024
Publisher : Department of Electrical Engineering Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/v33ex651

Abstract

The development of technology, particularly in the field of robotics, is increasingly influencing various aspects of life, including the organization of robot contests which are attracting more participants. The Indonesian Robot Contest (KRI) and the ABU Robocon Indonesia Robot Contest (KRAI) are competitions involving broad participation from across the Asia Pacific. Robots in these competitions are controlled using instructions from operators, where the use of wireless joysticks has become very common to enhance control efficiency. However, in practice, issues such as signal connection loss often occur, especially when using PlayStation 2 joysticks with limited signal range. This study aims to develop a more stable remote control system using an ATmega 2560 microcontroller and an ESP32 to provide Bluetooth signals. The research method used is experimental, including the stages of analysis, design, implementation, and evaluation. The results show that the control system with an ESP-based PS4 joystick can increase the control range up to 15 meters with more stable connectivity compared to the previous system. Testing also indicates that precise IP address assignment can prevent signal interference from other devices, making this system effective for use in robotics competitions
Realization of Single Phase Full Bridge Boost Inverter Using Arduino Wahyu Farahilla; Nevi Faradina; Muldi Yuhendri
Journal of Industrial Automation and Electrical Engineering Vol. 1 No. 1 (2024): Vol 1 No 1 (2024): June 2024
Publisher : Department of Electrical Engineering Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/eesj3v32

Abstract

This paper discusses a single-phase boost inverter that functions to increase and convert DC voltage to AC. A boost inverter is a combination of two DC-DC boost converters that can be operated as an inverter with a load connected in an opposite direction between the two converters. The boost inverter in this final project is implemented with an Arduino UNO328 microcontroller using the sinusoidal pulse width method (SPWM) as a trigger. The output frequency value given varies from 50Hz to 70Hz. In the design of this single-phase boost inverter, it consists of several main components, namely the Arduino microcontroller, which functions as a pulse width modulation signal generator; a MOSFET gate driver using the IR2841S IC functions to switch the IRFP260N MOSFET, where the MOSFET is switched with a constant frequency of 30 kHz and a 5V power supply as a voltage supply for Arduino and a 12V supply voltage for the gate driver; as well as capacitors and inductors. The test results in the design of this single-phase boost inverter run according to the design because the circuit has been able to increase and convert the voltage, namely from an input voltage of 12VDC to 31.59Vac with an output frequency of 50Hz. The selection of component quality in the circuit also affects getting more accurate results
Design and implementation of buck-boost converter using Atmega 8535 microcontroller Aslimeri; Widya Anggraini; Muldi Yuhendri
Journal of Industrial Automation and Electrical Engineering Vol. 1 No. 1 (2024): Vol 1 No 1 (2024): June 2024
Publisher : Department of Electrical Engineering Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/6kcamc65

Abstract

To achieve the desired DC voltage, a variety of DC-DC converter types are employed, including buck converters, which can generate output voltages lower than the input voltage, boost converters, which can generate output voltages higher than the input voltage, and buck-boost converters, which can raise and lower the output voltage value based on the input voltage value. MOSFET is used in this study's buck-boost converter design because to its lower cost. The Pulse Widening Technique, commonly known as the Pulse Width Modulation (PWM) approach, is one way to control the MOSFET modulation pulse. In designing the buck-boost converter using the ATMega8535 microcontroller, it consists of several main components, namely: The ATMega8535 microcontroller functions as a PWM signal generator, the MOSFET gate drive consists of an optocoupler 4N25 IC, which is used for switching the IRFP 250N MOSFET. In this study, a buck-boost converter will be made that can increase and decrease DC voltage. The output voltage setting of the buck-boost converter can be done by adjusting the power switch modulation pulse used in the buck-boost converter. The test results of the buck-boost converter circuit show that the converter can work well to increase and decrease the voltage according to the desired set point. Both in testing the tool with different loads and constant voltage, the tool is able to work as desired
Backpropagation neural network for DC-DC boost converter control using arduino microcontroller Robi Dwi Saputra; Muldi Yuhendri
Journal of Industrial Automation and Electrical Engineering Vol. 1 No. 1 (2024): Vol 1 No 1 (2024): June 2024
Publisher : Department of Electrical Engineering Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/1xsfxt05

Abstract

One kind of power converter that is frequently found in devices that employ a DC voltage source to produce a voltage output higher than the input voltage is the boost converter. The boost converter output voltage converter must be adjusted in order to produce the desired voltage output. This research suggests utilizing an Arduino Mega 2560 microcontroller implemented backpropagation-type artificial neural network to manage the boost converter output voltage. The highest output voltage of the boost converter is 24 volts, and its input voltage is 12 volts. Laboratory tests using different reference voltages and loads are used to validate the boost converter voltage control system based on a backpropagation neural network. Experiments conducted under a variety of test conditions demonstrate that the backpropagation neural network-based boost converter output voltage control system used in this study has effectively controlled the boost converter output voltage in accordance with the reference output voltage value, both when the load and the reference voltage are varied.
Design and implementation of quadratic boost converter employing arduino microcontroller Prayoga Kurnia Deca Nevil; Muldi Yuhendri
Journal of Industrial Automation and Electrical Engineering Vol. 1 No. 1 (2024): Vol 1 No 1 (2024): June 2024
Publisher : Department of Electrical Engineering Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/8gfqr749

Abstract

In modern power conversion applications, efficiency and the ability to significantly boost the voltage are two important aspects to consider. This article discusses the design and analysis of the Quadratic Boost Converter (QBC), a power converter that offers a higher voltage boost ratio compared to conventional boost converters. The Quadratic Boost Converter uses two inductors and two capacitors arranged in such a way as to boost the input voltage to a higher level with better efficiency. This study includes simulations and laboratory experiments to measure the performance of the Quadratic Boost Converter under various load and input voltage conditions. The results show that the Quadratic Boost Converter is not only able to achieve a higher voltage boost ratio but also has better efficiency under various operating conditions. This study also highlights the advantages of the Quadratic Boost Converter in solar power systems and electric vehicle applications, where significant voltage boost and high efficiency are highly required. Thus, the Quadratic Boost Converter is a potential solution for the need for more efficient and effective power conversion in various modern electronic applications
The induction motor's monitoring and protection system against vibration disturbances Muhammad Najmi; Muldi Yuhendri
Journal of Industrial Automation and Electrical Engineering Vol. 1 No. 1 (2024): Vol 1 No 1 (2024): June 2024
Publisher : Department of Electrical Engineering Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/b3pf7w52

Abstract

The industrial arena, the use of induction motors is an important element used in various aspects of industrial activities. Prolonged operation of an induction motor can lead to various mechanical failures. Mechanical failures can be identified by monitoring abnormal vibrations in motor components. Vibration monitoring is carried out using a vibration sensor, the ADXL345 accelometer sensor, which is attached to the induction motor body. The measurement results from this sensor are processed on the Arduino Mega and visualized into graphs on the ILI9341 TFT LCD. The vibration monitoring system is equipped with an induction motor protection device using a relay connected to coil A1 of the contactor. The contactor functions to cut off the electrical voltage from the 3-phase AC source to the induction motor being monitored. The relay will protect the induction motor when abnormal vibrations with an amplitude value of >3 g are found. System testing uses an induction motor connected to a VSD to vary the induction motor frequency. The results of the monitoring test are obtained and the vibration value will increase as the frequency of the applied voltage is increased and when the frequency is increased to 35Hz the maximum vibration detected is with a value of 3.75g, then the relay cuts off the voltage on the contactor coil and deactivates the induction motor
Implementation of Maximum power control of Solar Panels using Modified Perturb and Observe Algorithm based on Adaptive Neuro Fuzzy Inference System Ilham Kurniawan; Muldi Yuhendri; Ayu Hendra; Rahmat Hidayat
Journal of Industrial Automation and Electrical Engineering Vol. 1 No. 1 (2024): Vol 1 No 1 (2024): June 2024
Publisher : Department of Electrical Engineering Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/87da0h21

Abstract

In this modern era, the need for renewable energy is increasing, and solar panels are one of the main solutions. To maximize the efficiency of energy extraction from solar panels, a method is needed. Based on the characteristics of voltage and current, the output power of these solar panels changes following changes in irradiation and temperature. Changes in the output power value have a maximum point, where each voltage and current value has a different maximum power point at each change in temperature. For this reason, the Maximum Power Point Tracker (MPPT) method is used to solve this problem by adjusting the solar panel voltage at the maximum point using a power converter. In this study, the MPPT control system will be implemented using a boost converter. This study develops a Maximum Power Point Tracking (MPPT) control system based on the Adaptive Neuro-Fuzzy Inference System (ANFIS), which is developed from conventional perturbation and observation algorithms. The ANFIS-based MPPT control system is implemented using an Arduino microcontroller. The experimental results verify that the proposed ANFIS-based MPPT system has successfully controlled the output power of solar panels at the maximum point
Variable speed control of DC motor  using four quadrant controlled rectifier based on Human Machine Interface Razi Muhammad; Muldi Yuhendri
Journal of Industrial Automation and Electrical Engineering Vol. 1 No. 1 (2024): Vol 1 No 1 (2024): June 2024
Publisher : Department of Electrical Engineering Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/zqrgph97

Abstract

Various industrial equipment uses dc motors as its drive. In order for the dc motor to operate as needed, it needs to be controlled. Some of the controls applied to dc motors include control of rotation direction, speed, braking, and starting current starting. This paper proposes controlling the speed of the dc motor using a 4-quadrant controlled rectifier or phase controller using a programmable logic controller (PLC) and human machine interface (HMI) as the control center. The system design is implemented on a 1.3 HP separate amplifier dc motor. The proposed control system design is tested and validated at varying speeds. Variations in motor speed are set on the HMI screen according to needs. The test results show that the design of the dc motor speed control system using a four quadran phase controller has worked as desired. The speed of the motor can be controlled through the HMI display
Monitoring cameras for violations in the use of personal protective equipment Muhammad Maulana Rasiddin; Muldi Yuhendri
Journal of Industrial Automation and Electrical Engineering Vol. 1 No. 2 (2024): Vol 1 No 2 (2024): December 2024
Publisher : Department of Electrical Engineering Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/k6kjzn25

Abstract

Work Safety is an activity and effort to create a safe work environment, preventing all forms of accidents. To implement safe actions for workers, Personal Protective Equipment (PPE) is needed for workers to protect someone in doing their work. This Personal Protective Equipment (PPE) monitoring system begins by turning on the system by flowing the power supply to the system. Then the system is set via an access point via WiFi to be able to set the system on the microcontroller GUI. Then by selecting to activate "Motion Detect" and "Auto Upload" on the GUI, the system will automatically detect all movements within the range of the camera sensor. Furthermore, the system saves the video image of the object's movement in the memory on the system and will then be uploaded to a personal computer that has been set as an FTP server. After the personal computer saves the video image, the personal computer then sends the video image to the roboflow platform server. And when the video image is sent to the roboflow platform server, the video image is classified and labeled according to the dataset that the author created in the previous python programming. And finally, the video image that has been classified and labeled is stored again in the directory that has been specified in the programming
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