UAV is considered as one of the most efficient approaches in SAR operations. A combined MTSP-ACA algorithm is developed and simulated in an envisaged environment and associated background information to acquire the optimum path of and a time-related index of the multiple UAVs executing SAR operation. The size and parameters of an element grid are generated based on flight performance constraints and operational requirements. Using numerous element grids, discretization of the operative area is accomplished for the following modelling of MTSP-ACA simulation. Next, the operation is abstracted as a new type of MTSP application after the previous disposal of the affected area, and the solving model is also established. ACA optimization model for the above SAR operation is constructed for the final simulation. After three separate steps, the problem solution is computed under the circumstances the number of the launched plane are 8, 9, 10,11 respectively. The result indicates that MTSP-ACA is proved effective for high viability.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    MTSP-ACA for Multi-UAV Path Planning Applied in SAR Operations in Mountainous Terrain


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:
    Wu, Meiping (Herausgeber:in) / Niu, Yifeng (Herausgeber:in) / Gu, Mancang (Herausgeber:in) / Cheng, Jin (Herausgeber:in) / Zhan, Ren (Autor:in) / Shao, Pengjie (Autor:in) / Tang, Kezhong (Autor:in) / Zhang, Yan (Autor:in) / Wang, Ling (Autor:in)

    Kongress:

    International Conference on Autonomous Unmanned Systems ; 2021 ; Changsha, China September 24, 2021 - September 26, 2021



    Erscheinungsdatum :

    2022-03-18


    Format / Umfang :

    9 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    MTSP-ACA for Multi-UAV Path Planning Applied in SAR Operations in Mountainous Terrain

    Zhan, Ren / Shao, Pengjie / Tang, Kezhong et al. | TIBKAT | 2022


    The fractal structure of mountainous terrain and its influence on logging operations

    Nitami,T. / Univ.of Tokyo,Fac.of Agriculture,JP | Kraftfahrwesen | 1990


    Multi-model simulations of a convective situation in mountainous terrain

    Trentmann, Jörg / Keil, Christian / Salzmann, Marc et al. | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2009

    Freier Zugriff

    ADS-B Coverage Design in Mountainous Terrain

    Wangchuk, K. / Sangay / Naganawa, J. et al. | TIBKAT | 2021