Trajectory Tracking for UAVs: An Interpolating Control Approach
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F24%3A43973042" target="_blank" >RIV/49777513:23520/24:43973042 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1109/MMAR62187.2024.10680744" target="_blank" >https://doi.org/10.1109/MMAR62187.2024.10680744</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/MMAR62187.2024.10680744" target="_blank" >10.1109/MMAR62187.2024.10680744</a>
Alternative languages
Result language
angličtina
Original language name
Trajectory Tracking for UAVs: An Interpolating Control Approach
Original language description
Building on our previous work, this paper investigates the effectiveness of interpolating control (IC) for real-time trajectory tracking. Unlike prior studies that focused on trajectory tracking itself or UAV stabilization control in simulation, we evaluate the performance of a modified extended IC (eIC) controller compared to Model Predictive Control (MPC) through both simulated and laboratory experiments with a UAV. The evaluation focuses on the computational efficiency and control quality of real-time UAV trajectory tracking compared to previous IC applications. The results demonstrate that the eIC controller achieves competitive performance compared to MPC while significantly reducing computational complexity, making it a promising alternative for resource-constrained platforms.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20205 - Automation and control systems
Result continuities
Project
<a href="/en/project/TN02000054" target="_blank" >TN02000054: Božek Vehicle Engineering National Center of Competence</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2024 28th International Conference on Methods and Models in Automation and Robotics (MMAR)
ISBN
979-8-3503-6234-3
ISSN
2835-2815
e-ISSN
2835-2807
Number of pages
6
Pages from-to
387-392
Publisher name
IEEE
Place of publication
Międzyzdroje
Event location
Międzyzdroje, Poland
Event date
Aug 27, 2024
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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