Publication Details

Hybrid Modeling Approach for Optimization Based Control of Multirotor Unmanned Aerial Vehicles

NOVÁK Jiří, HANÁK Jiří and CHUDÝ Peter. Hybrid Modeling Approach for Optimization Based Control of Multirotor Unmanned Aerial Vehicles. In: 34th Congress of the International Council of the Aeronautical Sciences, ICAS 2024. Florence: International Council of the Aeronautical Sciences, 2024, pp. 1-10.
Czech title
Hybridní modelování pro řízení bezpilotních letounů založené na optimalizačních metodách
Type
conference paper
Language
english
Authors
Novák Jiří, Ing. (DCGM FIT BUT)
Hanák Jiří, Ing. (DCGM FIT BUT)
Chudý Peter, doc. Ing., Ph.D. MBA (DCGM FIT BUT)
Keywords

Model Predictive Control, Sparse Identification of Nonlinear Dynamics, Unmanned Aerial Vehicle

Abstract

The first principle based model synthesis is fundamental to Guidance, Navigation, and Control (GNC) solution development and integration. Optimization techniques such as Model Predictive Control (MPC) often rely on simplified governing equations of the system, omitting complex interactions, which are difficult to accurately model or pose numerical challenges for the optimization problem solver. This paper investigates a hybrid modeling approach based on Sparse Identification of Nonlinear Dynamics (SINDy) for local model adaptation within the MPC framework. The presented hybrid modeling approach benefits from the known structure of a physics-based model such that the learning process is computationally lightweight. Numerical experiments assume a multirotor Unmanned Aerial Vehicle (UAV) is subject to external phenomena typically encountered in urban environments, such as ground effects or wind gusts.

Published
2024 (in print)
Pages
1-10
Proceedings
34th Congress of the International Council of the Aeronautical Sciences, ICAS 2024
Conference
34th Congress of the International Council of the Aeronautical Sciences, Florence, IT
Publisher
International Council of the Aeronautical Sciences
Place
Florence, IT
BibTeX
@INPROCEEDINGS{FITPUB13184,
   author = "Ji\v{r}\'{i} Nov\'{a}k and Ji\v{r}\'{i} Han\'{a}k and Peter Chud\'{y}",
   title = "Hybrid Modeling Approach for Optimization Based Control of Multirotor Unmanned Aerial Vehicles",
   pages = "1--10",
   booktitle = "34th Congress of the International Council of the Aeronautical Sciences, ICAS 2024",
   year = 2024,
   location = "Florence, IT",
   publisher = "International Council of the Aeronautical Sciences",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/13184"
}
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