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Journal of Robotics and Control (JRC)
Published by Universitas Muhammadiyah Yogyakarta
ISSN : 27155056     EISSN : 27155072     DOI : https://doi.org/10.18196/jrc
Core Subject : Science, Engineering,
Aerospace Engineering Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Mechanical Engineering
Journal of Robotics and Control (JRC) is an international open-access journal published by Universitas Muhammadiyah Yogyakarta. The journal invites students, researchers, and engineers to contribute to the development of theoretical and practice-oriented theories of Robotics and Control. Its scope includes (but not limited) to the following: Manipulator Robot, Mobile Robot, Flying Robot, Autonomous Robot, Automation Control, Programmable Logic Controller (PLC), SCADA, DCS, Wonderware, Industrial Robot, Robot Controller, Classical Control, Modern Control, Feedback Control, PID Controller, Fuzzy Logic Controller, State Feedback Controller, Neural Network Control, Linear Control, Optimal Control, Nonlinear Control, Robust Control, Adaptive Control, Geometry Control, Visual Control, Tracking Control, Artificial Intelligence, Power Electronic Control System, Grid Control, DC-DC Converter Control, Embedded Intelligence, Network Control System, Automatic Control and etc.
Arjuna Subject : Teknik (semua kategori) - Teknik Kontrol dan Sistem
Articles 708 Documents
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Optimization of Renewable Energy Consumption in Charging Electric Vehicles Using Intelligent Algorithms Reza Alayi; Alfian Ma'arif; Yaser Ebazadeh; Ferydon Gharadaghi; Farnaz Jahanbin; Nima Shafaghatian
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.v3i2.13118

Abstract

Today, due to the considerable growth of the power/electricity industry, the high distance between low and high loads, and also economic crisis plagued most of the countries in the world, the operation of power plants has been transformed into a vital issue. Also, increasing use of energy and lack of accountability of conventional resources in response to supply the need has created many problems, including a decrease of fossil fuel sources, adverse environmental impacts, and increase of Greenhouse Gases (GHGs) all around the world. The concerns induced by this problem have caused the technologies consistent with an environment such as Electric Vehicles (EVs) to attract more and more attention. According to the capability of two-side exchange of power in these vehicles, if a significant number of them are connected to a net under management and intelligent control of an institution consistently, they can behave such a virtual small power plant with high start-up speed and without any cost.
Computer Vision-based Robotic Arm for Object Color, Shape, and Size Detection Md. Abdullah-Al-Noman; Anika Nawer Eva; Tabassum Binth Yeahyea; Riasat Khan
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.v3i2.13906

Abstract

Various aspects of the human workplace have been influenced by robotics due to its precision and accessibility. Nowadays, industrial activities have become more automated, increasing efficiency while reducing the production time, human labor, and risks involved. With time, electronic technology has advanced, and the ultimate goal of such technological advances is to make robotic systems as human-like as possible. As a result of this blessing of technological advances, robots will perform jobs far more efficiently than humans in challenging situations. In this paper, an automatic computer vision-based robotic gripper has been built that can select and arrange objects to complete various tasks. This study utilizes the image processing methodology of the PixyCMU camera sensor to distinguish multiple objects according to their distinct colors (red, yellow, and green). Next, a preprogrammed command is generated in the robotic arm to pick the item employing Arduino Mega and four MG996R servo motors. Finally, the device releases the object according to its color behind the fixed positions of the robotic arm to a specific place. The proposed system can also detect objects' geometrical shapes (circle, triangle, square, rectangle, pentagon, and star) and sizes (large, medium, and small) by utilizing OpenCV image processing libraries in Python language. Empirical results demonstrate that the designed robotic arm detects colored objects with 80% accuracy. It performs an excellent size and shapes recognition precision in real-time with 100% accuracy.
Systematic Review on Missing Data Imputation Techniques with Machine Learning Algorithms for Healthcare Amelia Ritahani Ismail; Nadzurah Zainal Abidin; Mhd Khaled Maen
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.v3i2.13133

Abstract

Missing data is one of the most common issues encountered in data cleaning process especially when dealing with medical dataset. A real collected dataset is prone to be incomplete, inconsistent, noisy and redundant due to potential reasons such as human errors, instrumental failures, and adverse death. Therefore, to accurately deal with incomplete data, a sophisticated algorithm is proposed to impute those missing values. Many machine learning algorithms have been applied to impute missing data with plausible values. However, among all machine learning imputation algorithms, KNN algorithm has been widely adopted as an imputation for missing data due to its robustness and simplicity and it is also a promising method to outperform other machine learning methods. This paper provides a comprehensive review of different imputation techniques used to replace the missing data. The goal of the review paper is to bring specific attention to potential improvements to existing methods and provide readers with a better grasps of imputation technique trends.
Attitude Control of a Quadrotor with Fuzzy Logic Controller on SO(3) Almido Haryanto Ginting; Samy Y. Doo; Don E. D. G. Pollo; Hendrik J. Djahi; Evtaleny R. Mauboy
Journal of Robotics and Control (JRC) Vol 3, No 1 (2022): January
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.v3i1.12956

Abstract

A quadrotor is an unmanned aerial vehicle (UAV) with two pairs of rotors rotating in opposite directions. Some of its unique abilities are hovering and vertical take-off and landing (VTOL). Most recent works carried out the UAVs' rotation parametrization using Euler angles and a quaternion. Those UAVs suffer from singularities and ambiguities. A geometric control is generally used to deal with those problems. Exponential coordinate in the geometric control maps R3 into SO(3). This paper presented a fuzzy logic controller on SO(3) to control the attitude of the quadrotor. The input of the fuzzy logic controller is the angular velocity (ω) and exponential coordinate error of rotation (ζ), while the output is torque (τ). The error function in this controller is a rotation matrix on SO(3). This proposed controller can control the attitude of the quadrotor based on the expected attitude for maneuvers both on one axis and all axis with a steady-state error of about 0.02 rad.
Development Plan of Unmanned System and Development Status of UUV Technology in Foreign Countries Jin-Yun Wang; Wei Ke
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.v3i2.10201

Abstract

The future battlefield will be unmanned combat as the leading role, and the unmanned underwater vehicle (UUV) will play an important role in the future underwater battlefield. In order to maintain its maritime strategic advantages, the U. S. military has formulated a long-term development plan for the unmanned aerial vehicle (UAS) in recent years. The technology of unmanned underwater vehicles (UUV), which is characterized by strong endurance, high mobility, and high covert attack, has become the future development trend. In addition, Russia, with its strong industrial foundation and technical strength, has introduced its latest development status. At last, the latest research results of the new concept of surface/underwater cross-medium submarine were introduced. The results show that the new intelligent cross-medium submarine will become the mainstream of future development. The research provides a reference for the development of unmanned equipment in China.
Risk Analysis of Nuclear Power Plant (NPP) Operations by Artificial Intelligence (AI) in Robot Kyung Bae Jang; Chang Hyun Baek; Tae Ho Woo
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.v3i2.13984

Abstract

The cognitive architecture is investigated for the management in the nuclear power plant (NPP) site in which artificial intelligence (AI) is incorporated. The normal operation and accident are modeled for the simulations incorporated with the robot intelligence algorithm, where random sampling plays a major role in the quantifications. The Accident Dynamics Simulator paired with the Information, Decision, and Action in a Crew context cognitive model (ADS-IDAC) and the Cognitive skill for plant operations are calculated for the study. Simulations show the ADS-IDAC modeling and simulation results of two peaks in 21st and 21.75th sequences. Otherwise, there are several peaks with one big peak in 13.25th sequences. The big peak is in the 25.75th sequence in Mental State, Circumstances, and Identity. The accident situation is related to actions through the cognitive systems. In the operation case, a variety of signals are shown in which the operations of the plant could show several kinds of actions to be done by the robot. The figure shows the procedure of nuclear cognitive architecture. A nuclear accident is investigated by the designed modeling in which the actions of robots are quantified by the artificial brain. The developed algorithm of this paper could be applied to the other kinds of complex industrial systems like airplane operations and safety systems, spacecraft systems, and so on.
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. 
Real Time DC Motor Position Control Using PID Controller in LabVIEW Khalifa, Mustafa; Amhedb, AL Hussein; Al Sharqawi, Mohammed
Journal of Robotics and Control (JRC) Vol 2, No 5 (2021): September
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.25104

Abstract

Direct current (DC) motors are the most used motors in control engineering applications due to their simplicity of construction, easy to control, and excellent performance. These motors should be well controlled to perform the required task. This research focuses on DC motor functional application in terms of a position control system using LabVIEW. This control system is a closed-loop real-time control system whereas incremental encoder 298 is coupled to the motor shaft to provide the feedback position signal to a controller; Proportional Integral Derivative (PID) The PID controls the position of the DC motor at the desired position with a minimum error. The PID controller was implemented in LabVIEW software which sends the control signal to the real-time DC motor through the Arduino board. In addition, LabVIEW software was developed to show the output response of motor position versus time to easily observe the performance of the system. The PID controller gains were obtained based on the trial and error method. The system under these controller parameters has been tested at different positions of tracking signal and for disturbance rejection. Finally, the results showed that the designed controller had good performance characteristics where the desired position of the motor was maintained.
The Design of Digital Liquid Density Meter Based on Arduino Prisma Megantoro; Andrei Widjanarko; Robbi Rahim; Kunal Kunal; Afif Zuhri Arfianto
Journal of Robotics and Control (JRC) Vol 1, No 1 (2020): January
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.1101

Abstract

A measure of liquid thickness is needed to make a dough or formula for medicinal syrup. The tools to measure the thickness available in the market are analog that is less accurate and precision. To overcome these problems, digital density measuring devices are needed. The limitation of the digital density meter, especially liquid, urges the author to carry out further research on the digitization of this measuring instrument. This research aims to make a digital density meter for liquid matter with a high level of measurement accuracy, as the reference measurement study for liquid density in digital form. The instrument was designed using the load cell method as the main sensor. It was also equipped with a DS18B20 water-resistant temperature sensor to measure the temperature of the liquid. The data were analyzed to obtain the accuracy and error of the liquid density measurement from the density meter. The liquid samples used for research were Pertamax, solar, and water. Sample accuracy and error measurement results were 99.83 percent and 0.17 percent respectively for Pertamax, 99.63 percent and 0.37 percent for solar and 99.46 percent and 0.54 percent for water. The measured density value was finally shown on the 16x2 LCD.
Implementation of Line Follower Robot based Microcontroller ATMega32A Abdul Latif; Hendro Agus Widodo; Robbi Rahim; Kunal Kunal
Journal of Robotics and Control (JRC) Vol 1, No 3 (2020): May
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.1316

Abstract

The development of technology in the field of robotics is very fast, but in the eastern regions of Indonesia, namely the development of the development has not yet felt the impact. Especially in the university's electrical laboratory Musamus Merauke learning media devices for microcontrollers are also not yet available, therefore the author wants to pioneer by implementing the simplest robot design, the line follower robot, where the robot only goes along the lines. This study uses an experimental method, by conducting a research process based on sequences, namely: needs analysis, mechanical chart design, electronic part design and control program design, manufacturing, and testing. The line follower robot based on ATmega32A microcontroller has been tested and the results show that the line follower robot can walk following the black line on the white floor and can display the situation on the LCD. But this line follower robot still has shortcomings in the line sensor sensitivity process depending on a certain speed. At speeds of 90-150 rpm the line follower robot can follow the path, while more than 150 rpm the robot is not able to follow the path.

Page 22 of 71 | Total Record : 708

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