Development of control system for quadrotor unmanned aerial vehicle using LoRa wireless and GPS tracking
In the past decades, there has been a growing interest in unmanned aerial vehicles (UAVs) for educational, research, business, and military purposes. The most critical data for a flight system is the telemetry data from the GPS and wireless transmitter and also from the gyroscope and accelerometer....
Published in: | Telkomnika (Telecommunication Computing Electronics and Control) |
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Universitas Ahmad Dahlan
2020
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2-s2.0-85089970157 Gunawan T.S.; Yahya W.A.; Sulaeman E.; Kartiwi M.; Janin Z. Development of control system for quadrotor unmanned aerial vehicle using LoRa wireless and GPS tracking 2020 Telkomnika (Telecommunication Computing Electronics and Control) 18 5 10.12928/TELKOMNIKA.v18i5.16716 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85089970157&doi=10.12928%2fTELKOMNIKA.v18i5.16716&partnerID=40&md5=710329c5f3430b60fb07f6a3845f2676 In the past decades, there has been a growing interest in unmanned aerial vehicles (UAVs) for educational, research, business, and military purposes. The most critical data for a flight system is the telemetry data from the GPS and wireless transmitter and also from the gyroscope and accelerometer. The objective of this paper is to develop a control system for UAV using long-range wireless communication and GPS. First, Matlab simulation was conducted to obtain an optimum PID gains controller. Then LoRa wireless was evaluated during clear and rainy days. Static and dynamic points measurement was conducted to validate and optimize GPS accuracy. GeoMapping in Matlab and Google GPS GeoPlanner were then used to analyze the traveled UAV flight path. © 2020 Universitas Ahmad Dahlan. Universitas Ahmad Dahlan 16936930 English Article All Open Access; Hybrid Gold Open Access |
author |
Gunawan T.S.; Yahya W.A.; Sulaeman E.; Kartiwi M.; Janin Z. |
spellingShingle |
Gunawan T.S.; Yahya W.A.; Sulaeman E.; Kartiwi M.; Janin Z. Development of control system for quadrotor unmanned aerial vehicle using LoRa wireless and GPS tracking |
author_facet |
Gunawan T.S.; Yahya W.A.; Sulaeman E.; Kartiwi M.; Janin Z. |
author_sort |
Gunawan T.S.; Yahya W.A.; Sulaeman E.; Kartiwi M.; Janin Z. |
title |
Development of control system for quadrotor unmanned aerial vehicle using LoRa wireless and GPS tracking |
title_short |
Development of control system for quadrotor unmanned aerial vehicle using LoRa wireless and GPS tracking |
title_full |
Development of control system for quadrotor unmanned aerial vehicle using LoRa wireless and GPS tracking |
title_fullStr |
Development of control system for quadrotor unmanned aerial vehicle using LoRa wireless and GPS tracking |
title_full_unstemmed |
Development of control system for quadrotor unmanned aerial vehicle using LoRa wireless and GPS tracking |
title_sort |
Development of control system for quadrotor unmanned aerial vehicle using LoRa wireless and GPS tracking |
publishDate |
2020 |
container_title |
Telkomnika (Telecommunication Computing Electronics and Control) |
container_volume |
18 |
container_issue |
5 |
doi_str_mv |
10.12928/TELKOMNIKA.v18i5.16716 |
url |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85089970157&doi=10.12928%2fTELKOMNIKA.v18i5.16716&partnerID=40&md5=710329c5f3430b60fb07f6a3845f2676 |
description |
In the past decades, there has been a growing interest in unmanned aerial vehicles (UAVs) for educational, research, business, and military purposes. The most critical data for a flight system is the telemetry data from the GPS and wireless transmitter and also from the gyroscope and accelerometer. The objective of this paper is to develop a control system for UAV using long-range wireless communication and GPS. First, Matlab simulation was conducted to obtain an optimum PID gains controller. Then LoRa wireless was evaluated during clear and rainy days. Static and dynamic points measurement was conducted to validate and optimize GPS accuracy. GeoMapping in Matlab and Google GPS GeoPlanner were then used to analyze the traveled UAV flight path. © 2020 Universitas Ahmad Dahlan. |
publisher |
Universitas Ahmad Dahlan |
issn |
16936930 |
language |
English |
format |
Article |
accesstype |
All Open Access; Hybrid Gold Open Access |
record_format |
scopus |
collection |
Scopus |
_version_ |
1814778506452664320 |