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Dual Observer Based Adaptive Controller for Hybrid Drones

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F23%3A10251702" target="_blank" >RIV/61989100:27240/23:10251702 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.mdpi.com/2504-446X/7/1/48" target="_blank" >https://www.mdpi.com/2504-446X/7/1/48</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.3390/drones7010048" target="_blank" >10.3390/drones7010048</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Dual Observer Based Adaptive Controller for Hybrid Drones

  • Original language description

    A biplane quadrotor (hybrid vehicle) benefits from rotary-wing and fixed-wing structures. We design a dual observer-based autonomous trajectory tracking controller for the biplane quadrotor. Extended state observer (ESO) is designed for the state estimation, and based on this estimation, a Backstepping controller (BSC), Integral Terminal Sliding Mode Controller (ITSMC), and Hybrid Controller (HC) that is a combination of ITSMC + BSC are designed for the trajectory tracking. Further, a Nonlinear disturbance observer (DO) is designed and combined with ESO based controller to estimate external disturbances. In this simulation study, These ESO-based controllers with and without DO are applied for trajectory tracking, and results are evaluated. An ESO-based Adaptive Backstepping Controller (ABSC) and Adaptive Hybrid controller (AHC) with DO are designed, and performance is evaluated to handle the mass change during the flight despite wind gusts. Simulation results reveal the effectiveness of ESO-based HC with DO compared to ESO-based BSC and ITSMC with DO. Furthermore, an ESO-based AHC with DO is more efficient than an ESO-based ABSC with DO. (C) 2023 by the authors.

  • 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

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2023

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Drones

  • ISSN

    2504-446X

  • e-ISSN

    2504-446X

  • Volume of the periodical

    7

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    CH - SWITZERLAND

  • Number of pages

    18

  • Pages from-to

  • UT code for WoS article

    000914518700001

  • EID of the result in the Scopus database

    2-s2.0-85146777762