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All Journal SITEKIN: Jurnal Sains, Teknologi dan Industri KACANEGARA Jurnal Pengabdian pada Masyarakat Aviation Electronics, Information Technology, Telecommunications, Electricals, and Controls (AVITEC)
Freddy Kurniawan
Institut Teknologi Dirgantara Adisutjipto
Aerospace Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Other

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Penentuan Koreksi Sudut Attitude pada Quadrotor Menggunakan Algoritma Zero Acceleration Compensation Shandy Avisena; Freddy Kurniawan; Ndaru Atmi Purnami
Aviation Electronics, Information Technology, Telecommunications, Electricals, Controls (AVITEC) Vol 4, No 1 (2022): February
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/avitec.v4i1.1109

Abstract

The orientation angle of a quadrotor UAV can be estimated from gyroscope and accelerometer data. Orientation can be predicted from gyroscope data under static or dynamic conditions, but the predicted value has accumulated errors. Meanwhile, orientation can also be calculated from accelerometer data, but only correct if the sensor is in a static state. To get a more precise orientation angle, the orientation predicted from the gyroscope data and the orientation calculated from the accelerometer data were fused using a Kalman filter. Determination of the condition of the sensor using a threshold value that is applied to the covariance of the acceleration data. in this study, the zero-acceleration compensation algorithm is used so that when the sensor is static, the orientation angle is calculated from the accelerometer. The use of this algorithm can increase the accuracy of the quadrotor orientation for roll angle to 96.84% and pitch angle to 98.91%.
Penentuan Orientasi dan Translasi Gerakan UAV menggunakan Data Fusion berbasis Kalman Filter Freddy Kurniawan; Muhammad Ridlo Erdata Nasution; Okto Dinaryanto; Lasmadi Lasmadi
Aviation Electronics, Information Technology, Telecommunications, Electricals, Controls (AVITEC) Vol 3, No 2 (2021): August
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/avitec.v3i2.890

Abstract

Navigation system is essential in estimating the orientation and translation motion of UAV. The system can utilize data from several sensors and devices, e.g. MIMU and GPS. The orientation of UAV can be precisely calculated by means of data from accelerometer and magnetometer when both sensors are in static state. Meanwhile, under dynamic conditions, the orientation can be more precisely predicted through the use of gyroscope sensor data. In order to attain a robust navigation system, a data fusion based on Kalman filter is built to estimate the orientation from the accelerometer, gyroscope, and magnetometer sensors. Moreover, for sake of achieving high accuracy, the filter will further correct the orientation by giving a higher weight to the data from accelerometer and magnetometer sensors when the UAV is in static condition. In the case of its position, the UAV position will be estimated by performing data fusion of MIMU and GPS data. Based on the experiments, it could be showed that data fusion based on Kalman filter provided more accurate results of orientation and position of UAV. The result of orientation based on gyroscope sensor data has an average error of 18.12°, while those obtained by accelerometer and magnetometer sensors data is 1.3°. Furthermore, by using the data fusion based on Kalman filter, the error of orientation predicted by combining data from accelerometer, magnetometer, and gyroscope will decrease to 0.87°.
Pengembangan Sistem Pemantau Kebocoran Gas Elpiji dan Peringatan Dini Bahaya Kebakaran Berbasis Internet of Things Husny Husny; Freddy Kurniawan; Lasmadi Lasmadi
Aviation Electronics, Information Technology, Telecommunications, Electricals, Controls (AVITEC) Vol 4, No 1 (2022): February
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/avitec.v4i1.1181

Abstract

The fire hazard due to an LPG cylinder explosion can be triggered from a gas cylinder leak. Not infrequently these incidents lead to loss of life and property loss. This study proposes the design of an LPG gas leak monitoring system and early warning of fire hazards. The system is designed to be integrated with the internet network through the Internet of Things (IoT) platform. The MQ-6 sensor module is used to detect LPG gas leaks and a fire sensor to detect fire. The sensor is installed close to the gas outlet source to ensure gas leakage and fire. The data from the sensor is read by the microprocessor and sent to the web server via the interface device. When the concentration of LPG gas in the air exceeds a certain level or a fire is detected, the microprocessor gives a command to turn on the alarm and sends a hazard notification to the smartphone. Hazard notifications, gas concentrations and status of hazard conditions can be accessed in real-time on Android-based smartphones. The results of the tests that have been carried out show that this system can provide information on hazard notification messages and gas concentration values in the range of 1000 - 10000 ppm. The fire detector in this system can detect fires up to a distance of 110 cm from the source of the fire. Then, hazard notifications and gas concentration levels can be accessed via a smartphone with the Kodular web application in the form of a real-time graphic display.
Koreksi Sudut Attitude Quadrotor pada saat Dinamis dengan Mengubah Bobot Data Sensor pada Kalman Filter Lasmadi Lasmadi; Muhammad Ali Dakir; Freddy Kurniawan; Sudarmanto Sudarmanto
Aviation Electronics, Information Technology, Telecommunications, Electricals, Controls (AVITEC) Vol 5, No 1 (2023): February
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/avitec.v5i1.1442

Abstract

Penggunaan data fusion menggunakan Kalman filter untuk menggabungkan data dari giroskop dan akselerometer dalam rangka menentukan sudut attitude pada quadrotor tidak selamanya menghasilkan data yang akurat. Sensor akselerometer tidak dapat menentukan data percepatan secara akurat pada saat kondisi dinamis, sementara itu nilai sudut hasil propagasi dari data giroskop mempunyai akumulasi galat yang semakin tinggi dengan berjalannya waktu. Untuk itu, pada penelitian ini digunakan Kalman filter yang dapat memberikan bobot yang lebih besar pada data giroskop saat quadrotor dalam kondisi dinamis. Metode yang digunakan adalah dengan menaikkan nilai matriks kovarian derau pengukuran pada saat kondisi dinamis. Penentuan kondisi dinamis dilakukan dengan membandingkan nilai varian data percepatan dengan nilai ambang batas. Dari hasil penelitian, metode ini terbukti dapat menurunkan galat sudut roll dari 9,3052 % menjadi 0,0635 % dan sudut pitch dari 0,0021 % menjadi 0,0015 %.
Co-Authors Husny Husny Lasmadi, Lasmadi Muhamad Rafiq Muhammad Ali Dakir Nasution, Muhammad Ridlo Erdata Okto Dinaryanto Purnami, Ndaru Atmi Shandy Avisena Sudarmanto Sudarmanto Sutjianto Sukarno