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Peran Motor Listrik pada Transportasi Ramah Lingkungan Slamet Riyadi
Praxis : Jurnal Sains, Teknologi, Masyarakat dan Jejaring Vol 1, No 1: September 2018
Publisher : Soegijapranata Catholic University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24167/praxis.v1i1.1626

Abstract

The fossil based fuel crisis and environmental degradation issues have caused the transportation system to use electric motors as an alternative to combustion engines. The emergence of electric hybrid vehicles and electric vehicles has been a sign that the revolution in the field of transportation has reached the implementation stage. DC motors that are capable to generate large torque becomes an option at first, but due to its limitations then other types of motors which have advantages such as DC motor but eliminating the its weakness are developed. BLDC (Brushless Direct Current) motors and switched reluctance motors are priority in implementation. This paper describes the characteristics and performance of the three motors which can be used as the background for developing environmentally friendly transportation system
Pelatihan Teknologi Tepat Guna Pembangkit Listrik Tenaga Surya Mandiri Leonardus Heru Pratomo; Slamet Riyadi; Shandy Jenifer Matitaputty; Arifin Wibisono
JPPM (Jurnal Pengabdian dan Pemberdayaan Masyarakat) VOL. 5 NOMOR 2 SEPTEMBER 2021 JPPM (Jurnal Pengabdian dan Pemberdayaan Masyarakat)
Publisher : Lembaga Publikasi Ilmiah dan Penerbitan (LPIP)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (486.711 KB) | DOI: 10.30595/jppm.v5i2.11254

Abstract

Semarang memiliki potensi untuk diimplementasikan sistem pembangkit listrik tenaga surya, hal ini dikarenakan sinar matahari bersinar setiap hari. Komponen untuk membuat pembangkit listrik tenaga surya mandiri terdiri dari: modul surya, sistem pemaksimal energi dan pengisi baterai, inverter dan peralatan listrik. Masalah yang dihadapi oleh masyarakat adalah kemampuan untuk merangkai dan menguji sistem ini menjadi satu sehingga mampu menjadi pembangkit listrik tenaga surya mandiri sesuai dengan standar kelistrikan milik PT. PLN.  Berdasarkan permasalahan ini, maka dilakukan pelatihan pembangkit tenaga surya mandiri yang diikuti oleh beberapa orang yang memiliki bekal ilmu kelistrikan sehingga mereka dapat mudah mengikuti pelatihan ini secara cepat. Pelatihan yang diberikan menggunakan modul surya sebesar 500WP sedangkan kapasitas pembangkit listrik mampu sampai dengan 1K, dari sistem ini diharapkan mampu untuk membuat sistem yang lebih besar. Berdasarkan hasil pelatihan satu hari, mereka mampu membuat dan mengimplementasikan pembangkit listrik tenaga surya mandiri dengan baik dan benar
Pattern Recognition untuk Deteksi Posisi pada AGV Berbasis Raspberry Pi Florentinus Budi Setiawan; Franciska Amalia Kurnianingsih; Slamet Riyadi; Leonardus Heru Pratomo
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 10 No 1: Februari 2021
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1656.303 KB) | DOI: 10.22146/jnteti.v10i1.738

Abstract

The development of technology in automation and robotics is overgrowing because of its high-efficiency level in terms of labor and time. In the warehousing system, one of the robots used is Automated Guided Vehicle (AGV). AGV is a transportation device in the form of a robot that can be controlled automatically, which functions as a carrier of goods using a navigation system to move in a predetermined direction. One of the existing AGV navigation systems is by following a line pattern on the floor. The system is inefficient because, gradually, the line pattern will wear out and can not be detected again due to the friction force of the AGV wheels itself. Therefore, it is necessary to develop an AGV navigation system to minimize these obstacles. This pattern recognition system uses a pattern placed on the building ceiling and camera as a sensor facing upwards, so that AGV can freely detect patterns. Then, the detected pattern was processed through a programmed Raspberry Pi 4 Model B. The test results show that this system can detect the position and successfully displays the coordinate point (x, y) of the AGV and will continue to run at any time until the program is changed as ordered.
Desain dan Implementasi Kendali Digital Proportional-Integral pada Cuk Converter Arifin Wibisono; Slamet Riyadi; Alvin Martanio
Jurnal Teknologi Elektro Vol 21 No 1 (2022): (Januari - Juni) Majalah Ilmiah Teknologi Elektro
Publisher : Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MITE.2022.v21i01.P20

Abstract

DC-DC converter are required in industrial application to convert a fixed DC voltage into a variable DC voltage. This article focuses on the cuk converter topology which can operate in buck-boost mode which is regulated through the duty cycle pulse width modulation setting and controlled by the dsPIC33EP512MU810 microcontroller by applying the Proportional-Integral (PI) digital closed loop current control method. Using PI control method is considered capable of producing optimal performance and increasing the response time that occurs. The frequency given by the generator signal is used as a reference signal to inject current into the inductor (L1). The current sensor module acts as a measuring device and a reader of the actual current value that appears through the load. The difference between the reference current value and the actual value will produce an error signal value so that it becomes the comparison value of the current sensor results with the PI control method. Simulation results on PSIM, modeling analysis, device implementation and hardware testing graphs in the laboratory have been carried out to prove the design parameters and proposed methods can work as intended.
dsPIC33 Based Control for PV-Grid System with a Buck-Boost MPPT Slamet Riyadi
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 7: July 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i7.pp5137-5143

Abstract

The use of solar energy is very important due to the fossil based energy crisis. Rapid progress in PV technologies has contributed to its applications. There are many PV based power plants built around the world.  Maximum Power Point Trackers (MPPT) take significant role in operating PV modules to produce their maximum power. They are implemented by using choppers to match the load resistance and the PV resistance. Recently, integration between PV modules and grids is more popular due to their advantages. The PV-Grid system can be single stages, two stages or any other types and all of them use PWM (pulse width modulation)  converters as their cores. In this paper, a PV-Grid System using buck-boost chopper as MPPT is analyzed. Power generated by PV modules is transferred to the grid by using an inverter that operated as a controlled current source so the complexity can be reduced. Finally, the dsPIC33 based control scheme for such a PV-Grid System was made as a laboratory scaled-prototype to verify the analysis and simulations.
Kendali Kecepatan Switched Reluctance Motor Berbasis FPGA Arifin Wibisono; Slamet Riyadi; Sulaiman Sulaiman
PROtek : Jurnal Ilmiah Teknik Elektro Vol 9, No 2 (2022): 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.v9i1.4317

Abstract

Abstract-- Renewable drive technology is developing in the current era, one of which is electric transportation. The Switched Reluctance Motor (SRM) was chosen for the transportation development because it has many advantages, including not using permanent magnets and simple construction in the form of an iron core in the rotor and stator windings. SRM works based on the reluctance phenomenon, namely, if the stator is energized, the stator will attract the nearby rotor, this is based on the tendency of the rotor poles to align with the stator excitation poles. SRM requires high speed switching control to operate and requires correct rotor position to operate. Maximum switching and good accuracy can use Field-Programmable Gate Array (FPGA) and rotary encoder as input for rotor position information. To use SRM in electric transport, it is necessary to adjust the speed with ease and precision. With the Pulse Width Modulation (PWM) technique, the size of the excitation depends on the size of the current, the size of the current is determined by the input voltage to the SRM. In this control, the PWM width can be changed by setting the carrier set and modulation set in the FPGA program. In this study, it is proposed to control the SRM speed by adjusting the PWM of the rotary encoder to produce the desired RPM. To support the achievement of this research, hardware testing was carried out in the laboratory.Keywords-- Duty cycle, FPGA, PWM, Reluctance, Switched Reluctance Motor.
Improving AI Text Recognition Accuracy with Enhanced OCR For Automated Guided Vehicle Florentinus Budi Setiawan; Farrel Adriantama; Leonardus Heru Pratomo; Slamet Riyadi
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 6 No 5 (2022): Oktober 2022
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (530.927 KB) | DOI: 10.29207/resti.v6i5.4279

Abstract

This artificial intelligence robot uses a mini-computer to operate it and uses mechanical movement like a four-wheeled vehicle with a 2WD drive system. In this article, a control strategy of the AGV robot will be shown and implemented to detect the location. This research Uses OCR (Optical Character Recognition) for the OpenCV library itself which has been enhanced/modified. This enhanced OCR is the main library used in text recognition. This research produces very accurate text detection compared to the default OCR that was previously used on the AGV robot in our university. After the process of reading this text is passed, it will produce text previously read through the camera which will then provide output in the form of text where the AGV robot is located. After the reading is validated, the AGV robot will move to the next point until it returns to its starting point. Based on hardware implementation through testing in the AGV laboratory with artificial intelligence, it can work according to the algorithm and minimize reading errors with a 95% success rate.
Metode Pergeseran Sudut Fasa Switched Reluctance Motor menggunakan Rotary Encoder dan Field Programmable Gate Array Arifin Wibisono; Slamet Riyadi; Guntur Sumartin
CYCLOTRON Vol 5, No 2 (2022): CYCLOTRON
Publisher : Universitas Muhammadiyah Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1018.053 KB) | DOI: 10.30651/cl.v5i2.12827

Abstract

Penggerak listrik banyak digunakan pada aplikasi industri maupun kendaraan listrik. Switched Reluctance Motor (SRM) merupakan salah satu dalam perkembangan kendaraan listrik berbasis digital karena memliki banyak kelebihan, seperti memiliki rasio torka yang tinggi serta kontruksi sederhana berupa inti besi pada rotor dan belitan stator. Dalam mengoperasikan SRM dibutuhkan informasi posisi rotor. Rotary encoder digunakan sebagai alat pendeteksi posisi rotor karena memiliki tingkat kepresisian yang tinggi serta posisi sudut penyalaan pada rotor yang dapat diatur guna mendapatkan torka yang optimal dalam kinerja SRM. Pada penelitian ini, guna meningkatkan kecepatan putar pada SRM dapat menggunakan metode pergeseran sudut rotor yang dikonversi menjadi nilai pulsa peyalaan. Nilai pulsa penyalaan tersebut digunakan sebagai data masukan Field Programmable Gate Arrays (FPGA) sebagai kontrol digital. Hasil pengolahan data dari FPGA diteruskan menuju konverter asymmetric untuk memberikan arus eksitasi pada stator. Guna mendukung penelitian ini maka dilakukan uji laboratorium sebagai validasi penelitian. Hasil pengujian menunjukan kondisi yang optimal jika nilai pulsa penyalaan berada pada saat induktansi mulai meningkatKata kunci: FPGA, Konverter asymmetric, Rotary encoder, SRM, Sudut fasa
Pengenalan Tanda Arah untuk Navigasi Automatic Guided Vehicle berbasis Raspberry Pi Florentinus Budi Setiawan; Rachmat Hidayat; Leonardus Heru Pratomo; Slamet Riyadi
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 12 No 1: Februari 2023
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jnteti.v12i1.4959

Abstract

The development of modern times in robotics and mechanization technology has increased significantly in the past few decades due to their high efficiency in time and energy. In the goods mobilization system for companies’ use, particularly the industrial and warehousing divisions, one of the robots that are used for transporting goods is an automatic guided vehicle (AGV). One of the old navigation methods in AGV is the use of a sensor to follow the line pattern on the detected object, namely the line on the floor. This method is rather ineffective because, gradually, these line pattern objects on the floor will fade caused by the effect of AGV wheels’ frictional forces, causing the camera sensor can no longer detect them. Therefore, it is necessary to improve the AGV navigation method so that it can be a sustainable innovation. This navigation method used four image objects positioned in the area traversed by the AGV robot and the camera served as a forward-facing sensor so that the AGV could detect the pattern of image objects with the help of computer vision using the OpenCV software library. The pattern of the detected image object was processed by a program designed on the Raspberry Pi 4 Model B minicomputer. The test results prove that this method can detect image objects within the camera’s field of view and successfully display the output of the image object. The system managed to recognize objects quite accurately, with parameters of 10–95 cm, and through several experiments. The analysis of the rotational speed of the front and rear wheels of the AGV was carried out using an oscilloscope and tachometer as a means of measuring wheel speed or rotation.
Perancangan Automated Guided Vehicle Menggunakan Penggerak Motor DC dan Motor Servo Berbasis Raspberry Pi 4 Florentinus Budi Setiawan; Yosia Yovie Christian Wibowo; Leonardus Heru Pratomo; Slamet Riyadi
Jurnal Rekayasa Elektrika Vol 18, No 2 (2022)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1383.179 KB) | DOI: 10.17529/jre.v18i2.25863

Abstract

The influence of the industrial revolution 4.0 resulted in very significant changes. Many companies compete to produce robots that facilitate human work, in terms of energy and time in the process of producing goods. One of the robots being developed is the Automated Guided Vehicle (AGV), a vehicle with automatic control. AGV has high accuracy, easy maintenance, and a long operating time. This study discusses the design and implementation of AGV using 2 motors. The front motor using a servo motor is used for steering to turn right and turn left, while the rear motor in the form of a DC motor is used to regulate the speed of the AGV. The AGV movement system is controlled by computer vision. The AGV problem encountered is that the camera reading distance is close, which makes it less efficient in industrial use. This problem can be solved with a camera connected to a raspberry pi capable of capturing text and images from a distance of 100 cm. The use of computer vision makes the AGV robot easy to move. In this study, the accuracy of the movement of the AGV robot to the trajectory pattern has an average angle difference of 3.09°. The difference in the angle indicates a small error so that the AGV can operate optimally. Infield applications, this AGV is used in the manufacturing industry to move goods. Therefore, the use of AGV is needed because it has high accuracy and small error.