The Large Number of Air Vehicles Simulation (LNAVSIM) is an environment for modeling, planning, and simulating an air war. LNAVSIM addresses the Air Force's need for command and control tools for unmanned combat air vehicles (ucavs) and unmanned air vehicles (uavs), and represents a leap-forward for modeling and simulation of military aircraft missions. LNAVSIM provides tools for planning coordinated and synchronized missions involving multiple vehicles. The data-driven LNAVSIM tools can model and simulate new and emerging weapons systems and missions. LNAVSIM provides a research environment for analysis and simulation of missions, and to assess the effectiveness of command, control, communication, and intelligence strategies for groups of aircraft. LNAVSIM provides state-of-the-art automated mission planning tools through the Large Number of Air Vehicles Generator (LNAVGEN) component, a prototype mission planning station for controlling groups unmanned vehicles. LNAVGEN accesses ORCA Planning and Utility System (OPUS) services for target allocation, autorouting, analysis, evaluation, data management, and simulation. LNAVGEN includes algorithms to generate routes for groups of vehicles using techniques that mimic bird flocking behaviors. ORCA's fast and efficient algorithms allow an LNAVGEN operator to dynamically replan missions while vehicles are in flight due to changing conditions such as pop-up threats and emergent time-critical targets.


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    Development and Application of Large Number of Air Vehicles Simulation (LNAVSIM) Software

    Allen, Edwin / Nalepka, Joseph / Duquette, M. et al. | AIAA | 2003


    AIAA-2003-5683 Development and Application of Large Number of Air Vehicles Simulation (LNAVSIM) Software

    Allen, E. / Nalepka, J. / Duquette, M. et al. | British Library Conference Proceedings | 2003


    Low Reynolds number vehicles

    Müller, Thomas J. | TIBKAT | 1985


    Efficient Simulation of Multi-rotor Vehicles with Low Reynolds Number Propellers

    Chiew, Jonathan J. / Aftosmis, Michael J. | AIAA | 2018