A novel flight route planning design technique is proposed for a group of unmanned aerial vehicles (UAVs) autonomous navigation based on the combination of evolutionary algorithms and modified artificial potential field methods. In this framework, the individual candidate route is capable of avoiding threats by introducing a virtual potential field while taking into account a variety of flight constraints. The candidate flight route is divided into several sections whose lengths are calculated individually such that the corresponding speed of each UAV can be evaluated to ensure that each member arrives at the desired termination simultaneously. The flight route planner has been tested under a variety of scenarios and proven to be effective in achieving the rendezvous of UAVs.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Potential-Field-Based Evolutionary Route Planner for the Control of Multiple Unmanned Aerial Vehicles


    Beteiligte:
    Lin, C-L (Autor:in) / Li, Y-H (Autor:in) / Aouf, N (Autor:in)


    Erscheinungsdatum :

    01.11.2010


    Format / Umfang :

    14 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





    Unmanned Aerial Vehicles Evolutional Flight Route Planner Using the Potential Field Approach

    Lin, Chun-Liang / Lee, Chia-Sung / Huang, Ching-Huei et al. | AIAA | 2012


    Real-time 3D route planner for unmanned air vehicles

    Zheng, Changwen / Zhou, Chengping / Ding, Mingyue | SPIE | 2001


    Real-time 3D route planner for unmanned air vehicles [4553-44]

    Zheng, C. / Zhou, C. / Ding, M. et al. | British Library Conference Proceedings | 2001