Penentuan Orientasi dan Translasi Gerakan UAV menggunakan Data Fusion berbasis Kalman Filter

AVITEC

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Field Value
 
Title Penentuan Orientasi dan Translasi Gerakan UAV menggunakan Data Fusion berbasis Kalman Filter
 
Creator Kurniawan, Freddy
Erdata Nasution, Muhammad Ridlo
Dinaryanto, Okto
Lasmadi, Lasmadi
 
Subject
accelerometer, gyroscope, Kalman filter, magnetometer, unmanned aircraft vehicle
 
Description 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°.
 
Publisher Institut Teknologi Dirgantara Adisutjipto
 
Contributor
 
Date 2021-07-09
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier https://ejournals.itda.ac.id/index.php/avitec/article/view/890
10.28989/avitec.v3i2.890
 
Source AVITEC; Vol 3, No 2 (2021): Agustus 2021; 99-116
2715-2626
2685-2381
10.28989/avitec.v3i2
 
Language eng
 
Relation https://ejournals.itda.ac.id/index.php/avitec/article/view/890/pdf
 
Rights Copyright (c) 2021 AVITEC
 

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