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DronePort: Smart Drone Battery Management System

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F21%3A43962460" target="_blank" >RIV/49777513:23520/21:43962460 - isvavai.cz</a>

  • Result on the web

    <a href="https://link.springer.com/chapter/10.1007%2F978-3-030-87725-5_2" target="_blank" >https://link.springer.com/chapter/10.1007%2F978-3-030-87725-5_2</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-030-87725-5_2" target="_blank" >10.1007/978-3-030-87725-5_2</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    DronePort: Smart Drone Battery Management System

  • Original language description

    This paper deals with the description of a drone management system for long-term missions called DronePort. First, the issue of long-term missions and possible approaches are outlined. Further, the individual components of proposed system, both hardware, and software are introduced. The DronePort system relies on battery swapping. By storing the battery in a battery compartment, the system is not strictly designed for one type of drone, but with simple modification, it is capable of maintaining a flight of various Vertical Take-Off and Landing (VTOL) drones. Afterward, more attention is paid to the simulation environment, which will greatly facilitate the development of the entire system. The simulation includes both drones equipped with a down-facing camera and a DronePort landing platform, which is fitted with an ArUco marker for precise landing. Next, the DronePort Traffic Control system is presented, which is tasked with communicating with the drones, scheduling battery swapping, and planning trajectories for the flight to and from the DronePort landing platform. The system uses the standard MAVLink protocol for communication, enabling use with a variety of MAVLink compatible drones. Finally, an example of collision-free trajectory planning considering battery capacity is presented. Trajectory was found in terms of Chebyshev pseudospectral optimal control.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20205 - Automation and control systems

Result continuities

  • Project

    <a href="/en/project/8A19004" target="_blank" >8A19004: Framework of key enabling technologies for safe and autonomous drones' applications</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2021

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    6th International Conference, ICR 2021, St. Petersburg, Russia, September 27–30, 2021, Proceedings

  • ISBN

    978-3-030-87724-8

  • ISSN

    0302-9743

  • e-ISSN

    1611-3349

  • Number of pages

    13

  • Pages from-to

    14-26

  • Publisher name

    Springer

  • Place of publication

    Cham

  • Event location

    St. Petersburg, Russia (virtual)

  • Event date

    Sep 27, 2021

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000711832900002