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Evolutionary algorithms in stabilization of unmanned aerial vehicles

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F08%3A63507783" target="_blank" >RIV/70883521:28140/08:63507783 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    čeština

  • Original language name

    Evoluční algoritmy při stabilizaci bezpilotních prostředků (UAV)

  • Original language description

    The article discusses the calculation of intervention into the aircraft controls for model/unmanned aerial vehicle (UAV) trim under different flight situations and configurations using the global optimization theory and computer simulation. The artificial intelligence methods and heuristic algorithms dealing with the system of nonlinear differential equations of motion in a multidimensional space of potential solutions are presented here. The main aim was to find the steady-state flight characteristicslocating the stable minima of a proposed cost function. The new approach is presented here with employment of self-organizing migrating algorithm and differential evolution for finding the optimal solution. the method shown here may be practically utilized as for the aircraft design as well as the UAV control.

  • Czech name

    Evoluční algoritmy při stabilizaci bezpilotních prostředků (UAV)

  • Czech description

    The article discusses the calculation of intervention into the aircraft controls for model/unmanned aerial vehicle (UAV) trim under different flight situations and configurations using the global optimization theory and computer simulation. The artificial intelligence methods and heuristic algorithms dealing with the system of nonlinear differential equations of motion in a multidimensional space of potential solutions are presented here. The main aim was to find the steady-state flight characteristicslocating the stable minima of a proposed cost function. The new approach is presented here with employment of self-organizing migrating algorithm and differential evolution for finding the optimal solution. the method shown here may be practically utilized as for the aircraft design as well as the UAV control.

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    BC - Theory and management systems

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GA102%2F06%2F1132" target="_blank" >GA102/06/1132: Softcomputing in Control</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2008

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Civilní bezpilotní systémy 2008

  • ISBN

    978-80-902522-2-6

  • ISSN

  • e-ISSN

  • Number of pages

    27

  • Pages from-to

  • Publisher name

    Odborná společnost letecká České republiky

  • Place of publication

    Praha

  • Event location

    Praha

  • Event date

    Nov 13, 2008

  • Type of event by nationality

    CST - Celostátní akce

  • UT code for WoS article