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....

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Published in:Telkomnika (Telecommunication Computing Electronics and Control)
Main Author: Gunawan T.S.; Yahya W.A.; Sulaeman E.; Kartiwi M.; Janin Z.
Format: Article
Language:English
Published: Universitas Ahmad Dahlan 2020
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85089970157&doi=10.12928%2fTELKOMNIKA.v18i5.16716&partnerID=40&md5=710329c5f3430b60fb07f6a3845f2676
id 2-s2.0-85089970157
spelling 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
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