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Journal : Journal of Robotics and Control (JRC)

Continuous Power Flow and Time Domain Analysis for Assessing Voltage Stability Wiwin Armoldo Oktaviani; Taufik Barlian; Yosi Apriani; Nugraha Syarif
Journal of Robotics and Control (JRC) Vol 1, No 6 (2020): November
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.1637

Abstract

Voltage instability is considered one of the primary sources of insecurity in power systems. Voltage instability is the phenomenon in which the voltage on the receiver's side is dropping far below the normal value and does not return even after establishing a voltage recovery mechanism, or continue to oscillate due to lack of attenuation. In this study, there will be a voltage stability analysis on the power system in several phases by conducting a power flow analysis, static voltage stability analysis using continuous power flow method, and dynamic voltage stability analysis using the time-domain analysis. The power system tested on this research is the IEEE 6 bus system from Wood Wollenberg, with the software used for the simulation, which is PSAT. The results show that voltage stability analysis using Continuous Power Flow and Time Domain Analysis can provide a more comprehensive overview of a power system stability level.  The highest decrease in voltage with a value of 1.5% appears in Bus 5 which is also suffering the lowest stability level. The system has a load margin (λ) value of 1.6130 a clearing time of under 0.4 seconds
Potential Force Algorithm with Kinematic Control as Path Planning for Disinfection Robot Iswanto Suwarno; Wiwin A. Oktaviani; Yosi Apriani; Dhiya Uddin Rijalusalam; Anish Pandey
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.v3i1.11528

Abstract

The disinfection robot is a virus-sterilizing robot that uses a nonholonomic robot model. Route planning algorithms are needed to allow disinfection robots to sterilize rooms in unknown areas and perform the task while navigating using a potential field algorithm. There is a problem applying the algorithm to nonholonomic robots: avoiding obstacles. The proposed route planning algorithm has been transformed into a potential force used to plan the path of disinfection robots in static and dynamic environments and environments with static obstacles. A potential field algorithm is used. There are some issues when the potential force algorithm is applied to nonholonomic disinfection robots in the area. Like any other robot, it takes a long time to avoid static obstacles. Therefore, this paper proposed a potential force algorithm that allows a robot to move towards a target point while avoiding static obstacles. The algorithm showed that a modified potential field algorithm with potential force could be applied to differential-driven robots for path planning. The disinfection robot could avoid obstacles with a faster response using this algorithm.
Design and Implementation of LoRa-Based Forest Fire Monitoring System Yosi Apriani; Wiwin A. Oktaviani; Ian Mochamad Sofian
Journal of Robotics and Control (JRC) Vol 3, No 3 (2022): May
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.v3i3.14128

Abstract

One of the great disasters on earth is forest fires. Attempts to detect disaster events have been made with the help of monitoring technology. However, the problem is that the sensor is less responsive to detecting the presence of fire. Furthermore, sending information about fire incidents throughout the forest cannot use the existing communication platform. Therefore, we designed a forest fire monitoring system using LoRa. This technology is based on wireless which can transmit data across the forest. To detect the presence of fire, Arduino Uno is used as a microcontroller that regulates input from the AMG8833 sensor and GPS Ubox 6M. The experiment shows that the AMG8833 sensor is more sensitive in detecting the presence of fire as the catch range changes between 3 to 10 meters. In that distance range, hotspots were detected 19.25 oC to 122.5 oC when testing the sensor node is done. The monitoring system developed in this study demonstrated that sensor nodes and gateways could communicate up to 500 meters apart with a signal quality of -134 dBm. The best LoRa configuration mode for this communication capability is a Bandwidth of 250, a Code Rate of 4/5, and a Spread Factor of 10.One of the great disasters on earth is forest fires. Attempts to detect disaster events have been made with the help of monitoring technology. However, the problem is that the sensor is less responsive to detecting the presence of fire. Furthermore, sending information about fire incidents throughout the forest cannot use the existing communication platform. Therefore, we designed a forest fire monitoring system using LoRa. This technology is based on wireless which can transmit data across the forest. To detect the presence of fire, Arduino Uno is used as a microcontroller that regulates input from the AMG8833 sensor and GPS Ubox 6M. The experiment shows that the AMG8833 sensor is more sensitive in detecting the presence of fire as the catch range changes between 3 to 10 meters. In that distance range, hotspots were detected 19.25 oC to 122.5 oC when testing the sensor node is done. The monitoring system developed in this study demonstrated that sensor nodes and gateways could communicate up to 500 meters apart with a signal quality of -134 dBm. The best LoRa configuration mode for this communication capability is a Bandwidth of 250, a Code Rate of 4/5, and a Spread Factor of 10.
Design and Build of 1000 V Joule Thief Inverter by Utilizing Pineapple as an Energy Source Wiwin A Oktaviani; Arrofi Maulana
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.v3i1.10198

Abstract

The availability of fossil energy-based energy sources is currently depleting and cannot meet the increasing consumption. Therefore, the development of environmentally friendly alternative energy or known as green energy is increasingly being encouraged. One form of green energy that can be utilized, especially in the South Sumatra region, is pineapple. In this paper, the use of pineapple as a raw material for batteries is introduced. The material for making pineapple batteries will affect the amount of battery capacity produced. The pineapple battery capacity will then determine the amount of output voltage generated by the joule thief converter. Apart from the material, the voltage increase in the joule thief converter circuit is also influenced by the source voltage of the pineapple battery, the ferrite core step-up transformer, and the arrangement of the diodes and capacitors in the circuit. The pineapple battery capacity produced in this study is 1209 mAh, the maximum voltage is 4.63 V, the pineapple battery life is 1.0334 hours, and the charging process is 34 minutes. The resulting circuit in this study shows that the maximum output voltage of the joule thief converter is 1531 V, a current of 4.19 mA and the ability to increase the voltage to the source is 300 times.