Embedded Fast Nonlinear Model Predictive Control for Micro Aerial Vehicles
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F21%3A00353586" target="_blank" >RIV/68407700:21230/21:00353586 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1007/s10846-021-01522-y" target="_blank" >https://doi.org/10.1007/s10846-021-01522-y</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s10846-021-01522-y" target="_blank" >10.1007/s10846-021-01522-y</a>
Alternative languages
Result language
angličtina
Original language name
Embedded Fast Nonlinear Model Predictive Control for Micro Aerial Vehicles
Original language description
Very small size or micro, aerial vehicles are being recently studied due to the large influence of environmental disturbances. The multirotor aerial vehicle (MAV) usually requires control approaches that can guarantee a safe operation. However, limitations with respect to the embedded system (i.e. energy, processing power, memory, etc.) are usually present. In this work, we propose the use of Nonlinear model predictive control (NMPC), which can safely respect input constraints. In contrast, the application of NMPC in embedded systems of Micro-MAV is typically challenging. To solve this issue, we propose a modification on the NMPC called Embedded Fast NMPC that can ensure the implementation of the position controller safely and stably. Micro Multirotor Aerial Vehicles (Micro-MAVs) use low processing power boards. These boards usually rely solely on on-board sensors to perform localization and target detection, which in turn makes this platform suitable for experiments in GNSS-denied environments. We validate our approach with real robot experiments using a Micro-MAV.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20204 - Robotics and automatic control
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal of Intelligent and Robotic Systems
ISSN
0921-0296
e-ISSN
1573-0409
Volume of the periodical
2021
Issue of the periodical within the volume
103
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
11
Pages from-to
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UT code for WoS article
000723651300002
EID of the result in the Scopus database
2-s2.0-85120165325