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All Journal International Journal of Power Electronics and Drive Systems (IJPEDS) Jurnal Teknik Elektro PROtek : Jurnal Ilmiah Teknik Elektro Journal of Robotics and Control (JRC) INAJEEE (Indonesian Journal of Electrical and Electronics Engineering) Jurnal INFOTEL
Leonardus Heru Pratomo
Soegijapranata Catholic University
Aerospace Engineering Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Mechanical Engineering

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Design and implementation of a single-phase five-level inverter using a DC Source with voltage balancer on capacitor Leonardus Heru Pratomo; Slamet Riyadi
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 12, No 2: June 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v12.i2.pp902-912

Abstract

The global use of renewable energy resources has led to the design and development of high performance, efficient, controllable, and cheap multilevel inverters, which act as a solution to the numerous power deficiencies. However, in terms of control, these multilevel inverters are often associated with DC sources and complexity. Therefore, this research designed a single-phase five-level inverter using a DC source, with a novel sinusoidal pulse-width-modulated (SPWM) control scheme. The system consists of a Flying Capacitor DC-DC Converter and H-Bridge Inverter (FCDCDC-HBI). A single absolute reference signal and the phase-shifted triangular carrier were used to generate SPWM to enhance the capacitor voltage balance. The designed inverter is capable of producing five levels of output voltage levels, namely Vi, Vi/2, 0, −Vi/2, and −Vi from a DC supply, thereby reducing the overall cost and complexity of the SPWM system. This research also produced a detailed operation principle of the proposed system, which was verified through simulation and implemented using a prototype. Finally, hardware implementation results are presented to check the performance of the inverter.
Design and Implementation of Smart Forklift for Automatic Guided Vehicle Using Raspberry Pi 4 Florentinus Budi Setiawan; Phoa Marcellino Siva; Leonardus Heru Pratomo; Slamet Riyadi
Journal of Robotics and Control (JRC) Vol 2, No 6 (2021): November
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.26130

Abstract

Automatic Guided Vehicle (AGV) pallet truck is widely used in the industry. This kind of AGV is such a combination of the ordinary AGV used forklift mechanism. The forklift mechanism is employed for lifted up or carrying things from one place to another place. As the technology has been developed along with the industry revolution 4.0, therefore, the activity could be done automatically by using a robot-like AGV pallet truck. Basically, the working principle of the AGV pallet truck is similar to the ordinary forklift whereas the AGV pallet truck is automatically operated. DC motor is applied as the driving force for the uplifting and down lifting process in the forklift mechanism of the AGV pallet truck. DC motor is chosen because it has large torque which is advantageous for lifting loads. Unfortunately, DC motor also owns some disadvantages such as high maintenance fees and less precision. This study proposes a smart forklift mechanism for AGV pallet trucks that utilizes a stepper motor and ultrasonic distance sensor. This smart forklift mechanism is equipped with raspberry pi model B as the main microcontroller and combined with an ultrasonic distance sensor. The result of the ultrasonic distance sensor has an error approaching zero percent so the precision of the height can be fully controlled. Step / Revolution (SPR) method makes the stepper motor can move smoothly like micro-step and also the number of rotations can be controlled as we want.
Design and Implementation of Double Loop Control Strategy in TPFW Voltage and Current Regulated Inverter for Photovoltaic Application Leonardus Heru Pratomo; Agutinus Fidelis Wibisono; Slamet Riyadi
Journal of Robotics and Control (JRC) Vol 3, No 2 (2022): March
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.v3i2.14365

Abstract

Increasing demands for renewable energy encourage the development of inverters as a solution for converting energy from direct photovoltaic current (DC) output to alternative current (AC) at a maximum output power. Several nation standard systems are three-phase four-wired (TPFW), which means that the TPFW inverter must be used. The issue arises because the TPFW inverter is operated through an open-loop system, which has the problem of preventing the inverter from adjusting the voltage and current as needed. Hence, the open-loop system must be converted to a closed-loop system which is usually used only single control. The single strategy control is not effective because this strategy cannot regulate voltage and current at the same time. It only controls either voltage or current. The output voltage or current is changed when the load value is changed. Due to its weaknesses, the study proposes a new double-control strategy method that utilizes a PI strategy (P) controller as a voltage controller and a proportional strategy control as a current controller. This strategy is tested and measured by using simulation, showing a THD value of 1.07%. Accordance to IEEE standards, the THD value is within the recommended limit. Therefore, the output voltage and current produced have a good signal with a low ripple and stability without fluctuation. 
Implementation of The STM32F407 Microcontroller Based 5-Level Inverter Eko Yoyok Pujianti; Leonardus Heru Pratomo
INAJEEE (Indonesian Journal of Electrical and Electronics Engineering) Vol. 5 No. 2 (2022)
Publisher : Department of Electrical Engineering, Faculty of Engineering, Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/inajeee.v5n2.p46-49

Abstract

Technological developments continue to increase, this can be seen by the increasing number of electronic equipment used in daily needs, one of which is in the science of converting electrical energy, namely the 5-level inverter. The 5-stage inverter is a voltage changer that can convert DC electricity into AC electricity. Many studies have been carried out in order to obtain a sinusoidal 5-level inverter voltage waveform output by means of harmonic elimination technique. Harmonic elimination technique is a 5-level inverter signal processing technique for maximum switching patterns in order to obtain a sinusoidal output waveform and a minimum THD value with a combination of the STM32F407 microcontroller control signal generator circuit and the Mosfet Driver circuit, this 5-level inverter is expected to have a high output waveform. sinusoidal. testing is done with software in the form of PSIM software and real implementation. Based on the results, the method used is able to produce inverter output current and voltage with a THD of 4.38%.
Fruit Ripeness Classification System Using Convolutional Neural Network (CNN) Method Florentinus Budi Setiawan; Christophorus Bramantya Adipradana; Leonardus Heru Pratomo
PROtek : Jurnal Ilmiah Teknik Elektro Vol 10, No 1 (2023): PROtek : Jurnal Ilmiah Teknik Elektro
Publisher : Program Studi Teknik Elektro Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/protk.v10i1.5549

Abstract

The increasing consumer demand in the fruit industry has also demanded that various sectors of the fruit processing industry be able to adapt to this situation. The demand for good quality and fresh fruit requires technological advances and supporting systems that can be used in the fruit processing industry to produce the best quality fruit. Referring to this, this study aims to detect the type and maturity of fruit using machine learning with the CNN (Convolutional Neural Network) method using the function of a camera that is integrated with the program algorithm. This research is a refinement of previous research that has been made at the university by increasing the ability to read objects based on color with different methods. In this programming language, Python also requires several additional libraries to carry out the object detection process, namely by using the cvzone library as the main library. This study shows that the detection of fruit and ripeness using the CNN method was successful in detecting the type and maturity of the fruit. In the design and trial of this research, it can run well according to the algorithm created by the researcher. The success rate and accuracy of the detection of the type and maturity of this fruit reach 90%.
Controlling the Output Voltage of a Step Up-Down Five-Level Inverter Leonardus Heru Pratomo; Slamet Riyadi; Agengkarunia Cahyadi Wibawa
Jurnal Teknik Elektro Vol 15, No 1 (2023): Jurnal Teknik Elektro
Publisher : Jurusan Teknik Elektro, Fakultas Teknik, Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jte.v15i1.43877

Abstract

The increasing demand for electrical energy must be balanced with using renewable energy. However, the use of renewable energy requires a system to maximize the conversion of renewable energy into electrical energy. Various topologies have been studied to achieve maximum energy conversion. Two types of inverters, namely step up-down, have been widely used but have their respective limitations. Step-down inverters can only be used in lower output voltage than input voltage conditions with simple control, while step-up inverters can only operate in higher output voltage than input voltage conditions. This paper aims to combine these two converters to have both step-up-down voltage functions, with the goal of expanding the operating range and maintaining the advantages of each type. Thus, a topology called a step-up-down five-level inverter with a simple voltage-controlled capacitor balancing system is proposed in this paper. Finally, the simulation and laboratory tests were done. This inverter operates in step-up-down voltage, and the voltage in capacitors is always balanced to reach the desired level. The voltage control was done to get the constant voltage event the load was changed.
Implementation of line detection self-driving car using HSV method based on raspberry pi 4 Florentinus Budi Setiawan; Eric Pratama Putra; Leonardus Heru Pratomo; Slamet Riyadi
JURNAL INFOTEL Vol 14 No 4 (2022): November 2022
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v14i4.801

Abstract

With the development of technology, especially in the field of robotics, daily human activities can be carried out with artificial intelligence. One of the artificial intelligence technologies that help ease the burden on humans, especially in terms of driving, is self-driving cars. In this case, self-driving cars have several methods with GPS systems, radar, lidar, or cameras. In this study, a self-driving car system was designed on a navigation path model using a street mark detector with an intermediary sensor, namely a camera as a vision sensor. This self-driving car system uses a prototype called an autonomous car to walk on a path which is a self-driving car navigation direction based on the detected line to be able to detect camera sensors that process line images from the camera using HSV. method. In this study, a self-driving car system has been successfully designed using a microcontroller, namely Raspberry Pi 4 as a programmer and L298n motor driver, BTS7960 as a driver for a self-driving car. The Raspberry Pi 4 sends real-time images through the camera as a vision sensor which then detects a line to navigate the movement of this self-driving car. By using image processing, the resulting level of precision can reach the average value according to the direction of the self-driving car.
Co-Authors Agengkarunia Cahyadi Wibawa Agutinus Fidelis Wibisono Christophorus Bramantya Adipradana Eko Yoyok Pujianti Eric Pratama Putra Florentinus Budi Setiawan Phoa Marcellino Siva Slamet Riyadi