Publication Details

Surrogate Modeling of Optimal Control Based Collision Avoidance System for Multirotor Unmanned Aerial Vehicles

NOVÁK, J.; CHUDÝ, P. Surrogate Modeling of Optimal Control Based Collision Avoidance System for Multirotor Unmanned Aerial Vehicles. In AIAA/IEEE Digital Avionics Systems Conference - Proceedings. Barcelona: Institute of Electrical and Electronics Engineers, 2023. p. 1-7. ISBN: 979-8-3503-3357-2. ISSN: 2155-7195.
Czech title
Náhradní modelování systému pro vyhnutí se kolize bezpilotních systémů založeném na teorii optimálního řízení
Type
conference paper
Language
English
Authors
URL
Keywords

collision avoidance, polynomial chaos expansion, multi-rotor vehicle, successive convexification

Abstract

A dynamically changing operating environment, along with constraints imposed through applicable safety requirements, pose significant challenges to autonomous multi-rotor manned and unmanned aerial vehicle operations in urban areas. Safety-critical onboard collision avoidance capability requires fast decision making accounting for uncertainties arising in complex environments. Successive convexification approach is applied to generate collision avoidance trajectories assuming both static and moving obstacles. The uncertainties arising in estimated state of moving obstacles are accounted for by construction of Polynomial Chaos Expansion based surrogate model. The obtained surrogate model can be evaluated in real-time to update the collision avoidance trajectory in case of change of tracked obstacle's state. The designed trajectories are subsequently tracked using a closed-loop Model Predictive Control scheme assuming a quadcopter configuration.

Published
2023
Pages
1–7
Proceedings
AIAA/IEEE Digital Avionics Systems Conference - Proceedings
Number
10
ISBN
979-8-3503-3357-2
Publisher
Institute of Electrical and Electronics Engineers
Place
Barcelona
DOI
EID Scopus
BibTeX
@inproceedings{BUT185182,
  author="Jiří {Novák} and Peter {Chudý}",
  title="Surrogate Modeling of Optimal Control Based Collision Avoidance System for Multirotor Unmanned Aerial Vehicles",
  booktitle="AIAA/IEEE Digital Avionics Systems Conference - Proceedings",
  year="2023",
  number="10",
  pages="1--7",
  publisher="Institute of Electrical and Electronics Engineers",
  address="Barcelona",
  doi="10.1109/DASC58513.2023.10311265",
  isbn="979-8-3503-3357-2",
  issn="2155-7195",
  url="https://ieeexplore.ieee.org/document/10311265"
}
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