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Tytuł:
Analysis of micro-electromechanical inertial measurement units for unmanned aerial vehicle applications
Autorzy:
Mammadov, Aftandil
Powiązania:
https://bibliotekanauki.pl/articles/2203076.pdf
Data publikacji:
2022
Wydawca:
Politechnika Śląska. Wydawnictwo Politechniki Śląskiej
Tematy:
unmanned aerial vehicles
inertial measurement unit
gyroscope
accelerometer
micro electro-mechanical system
roll
pitch
yaw
acceleration
bezzałogowe pojazdy powietrzne
inercyjna jednostka pomiarowa
żyroskop
przyspieszeniomierz
system mikro-elektromechaniczny
rolka
nachylenie
przyśpieszenie
Opis:
Typically, an inertial navigation system (INS) is used to determine the position, speed, and orientation of an object moving relative to the earth's surface. The navigation information (position, speed and orientation) of an unmanned aerial vehicle (UAV) is needed to control its flight. Since the resistance of INS to interferences is very high, it is possible to ensure reliable flights in conditions of high-intensity noise. This article explores the principles of constructing inertial measurement units (IMU) that are part of the INS and indicates perspective directions for their development. Micro-electromechanical inertial measurement units were studied in this work, and functional and principal electrical circuits for connecting units of inertial measurements to the microcontroller were developed. The results of practical measurements of units without calibration and after calibration were obtained using the created laboratory device. Based on the obtained results, the necessity of sensor calibration was revealed, and accuracy was improved by performing calibration with the Kalman filter algorithm. The Kalman filter is the heart of the navigation system. In a low-cost system, IMU errors like bias, scale factor error and random walk noise dominate the INS error growth.
Źródło:
Zeszyty Naukowe. Transport / Politechnika Śląska; 2022, 117; 129--138
0209-3324
2450-1549
Pojawia się w:
Zeszyty Naukowe. Transport / Politechnika Śląska
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Open extensive IoT research and measurement infrastructure for remote collection and automatic analysis of environmental data
Autorzy:
Wiszniewski, Ł.
Klimowicz, D.
Powiązania:
https://bibliotekanauki.pl/articles/1940556.pdf
Data publikacji:
2017
Wydawca:
Politechnika Gdańska
Tematy:
Internet of Things
LoRaWAN
data gathering
data visualization
unmanned air vehicles
LPWAN Network
Long Range Data Transmission
internet rzeczy
gromadzenie danych
wizualizacja danych
bezzałogowe pojazdy powietrzne
sieć LPWAN
transmisja danych dalekiego zasięgu
Opis:
Internet of Things devices that send small amounts of data do not need high bit rates as it is the range that is more crucial for them. The use of popular, unlicensed 2.4 GHz and 5 GHz bands is fairly legally enforced (transmission power above power limits cannot be increased). In addition, waves of this length are very difficult to propagate under field conditions ( e.g. in urban areas). The market response to these needs are the LPWAN (Low Power WAN) type networks, whose main features are far-reaching wireless coverage and low power measurement end-nodes that can be battery powered for months. One of the promising LPWAN technologies is the LoRa WAN, which uses a publicly available 868 MHz band (in Europe) and has a range of up to 20 km. This article presents how the LoRa WAN network works and describes the installation of the research and measurement infrastructure in this technology which was built in the Gdańsk area using the Academic Computer Center TASK network infrastructure. The methodology and results of the qualitative and performance studies of the constructed network with the use of unmanned aircraft equipped with measuring devices for remote collection of environmental data are also presented. The LoRaWAN TASK has been designed to support the development of other research projects as an access infrastructure for a variety of devices. Registered users can attach their own devices that send specific metrics that are then collected in a cloud-based database, analyzed and visualized.
Źródło:
TASK Quarterly. Scientific Bulletin of Academic Computer Centre in Gdansk; 2017, 21, 4; 355-363
1428-6394
Pojawia się w:
TASK Quarterly. Scientific Bulletin of Academic Computer Centre in Gdansk
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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