Unmanned aerial vehicles (UAVs) are critical components of the future naval forces. UAV control and monitoring with autonomous operation will become an absolute necessity and adaptive cooperation of vehicles is the only practical alternative. The objective of this project is to develop and evaluate new methodologies for cooperative (formation) control of multiple unmanned air vehicles. The goal is to have multiple UAVs working together as a group. Instead of separately assigning distinct tasks to each vehicle, the operator would assign tasks to the UAV group, which then determines the best way to accomplish each task, freeing the operator to maintain surveillance over the entire operation. In this project we investigated Path Tracking and obstacle avoidance of UAVs using fuzzy logic method. Algorithms for close formation control of multi-UAVs are developed and simulated. We also investigated fault- tolerant control of single UAVs by neuro-adaptive method. Detailed description of this method is provided in this document. The project has supported S graduate students with 9 technical papers published.


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    Titel :

    Fault-Tolerant and Reconfigurable Control of Unmanned Aerial Vehicles (UAVs)


    Beteiligte:
    Y. D. Song (Autor:in)

    Erscheinungsdatum :

    2008


    Format / Umfang :

    31 pages


    Medientyp :

    Report


    Format :

    Keine Angabe


    Sprache :

    Englisch




    Review on Fault Tolerant Control for Unmanned Aerial Vehicles (UAVs)

    Sadeghzadeh, I. / Zhang, Y. / American Institute of Aeronautics and Astronautics | British Library Conference Proceedings | 2011


    A Review on Fault-Tolerant Control for Unmanned Aerial Vehicles (UAVs)

    Sadeghzadeh, Iman / Zhang, Youmin | AIAA | 2011


    Accident fault determination implementing unmanned aerial vehicles (UAVS)

    TOFTE NATHAN L / RYAN TIMOTHY W / BAUMANN NATHAN W et al. | Europäisches Patentamt | 2021

    Freier Zugriff


    Unmanned Aerial Vehicles (UAVs) in Firefighting

    Orgeira-Crespo, Pedro / Rey, Guillermo / Ulloa, Carlos et al. | Springer Verlag | 2024