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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

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • 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

  • UT code for WoS article

    000723651300002

  • EID of the result in the Scopus database

    2-s2.0-85120165325