A game-matrix approach is used to generate intelligent maneuvering decisions for nap-of-the-earth one-on-one helicopter air combat over hilly terrain. Decisions are made in real time using the AUTOMAN program by comparing scores based upon the predicted orientation, range, velocity, and terrain clearance for various maneuver combinations of both aircraft. The program has been demonstrated at the NASA Ames Vertical Motion Simulator, providing manned helicopter simulations. Sample trajectories from a stand-alone version of the program designed for nonpiloted simulations demonstrate that the present automated maneuvering logic generates some of the tactics employed by experienced pilots in flight tests. The program also has application to fixed-wing aircraft simulations.


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    Titel :

    Automated maneuvering decisions for air-to-air combat


    Beteiligte:
    Austin, Fred (Autor:in) / Carbone, Giro (Autor:in) / Falco, Michael (Autor:in) / Hinz, Hans (Autor:in) / Lewis, Michael (Autor:in)

    Erscheinungsdatum :

    1987-01-01


    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Keine Angabe


    Sprache :

    Englisch


    Schlagwörter :


    Automated maneuvering decisions for air-to-air combat

    AUSTIN, FRED / CARBONE, GIRO / FALCO, MICHAEL et al. | AIAA | 1987


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    Yang, Kwangjin / Kim, Songhyon / Lee, Younggun et al. | AIAA | 2023


    Game theory for automated maneuvering during air-to-air combat

    Austin, Fred / Carbone, Giro / Hinz, Hans et al. | NTRS | 1990


    Game theory for automated maneuvering during air-to-air combat

    AUSTIN, FRED / CARBONE, GIRO / HINZ, HANS et al. | AIAA | 1990