Unsteady Airflows and Their Impact on Small Unmanned Air Systems in Urban Environments

Existing unmanned air system platforms currently do not lend themselves well to autonomous operation within complex, highly variable aerodynamic environments. As such, there is a need for accurate high-fidelity urban airflow models to help reduce the risk of failure of urban unmanned air system surveillance and engagement missions. Although urban aerodynamics are exceptionally complicated because of complex interactions between geometry, physical conditions, and varying meteorology, high-fidelity computational fluid dynamics models exist that capture these interactions effectively. Using sufficient resolution, these large-eddy simulation models provide a viable means to characterize urban airflow environments when wind-tunnel testing and field trials are too expensive or impossible. This paper presents a simulation tool that captures unsteady aerodynamics of aircraft flight in an urban environment for the study of vehicle–environment interactions. By combining a high-resolution model of the terrain/buildi...

[1]  H. Fernando Fluid Dynamics of Urban Atmospheres in Complex Terrain , 2010 .

[2]  E. C. Stewart A study of the interaction between a wake vortex and an encountering airplane , 1993 .

[3]  Jay P. Boris,et al.  Implicit Large Eddy Simulation: Large-Scale Urban Simulations , 2007 .

[4]  Eric Jumper,et al.  Aircraft wake vortices and their effect on following aircraft , 2001 .

[5]  Timothy W. McLain,et al.  Decentralized Cooperative Aerial Surveillance Using Fixed-Wing Miniature UAVs , 2006, Proceedings of the IEEE.

[6]  Reed Siefert Christiansen Design Of An Autopilot For Small Unmanned Aerial Vehicles , 2004 .

[7]  Michael Schatzmann,et al.  Validating LES-based flow and dispersion models , 2011 .

[8]  John F. Keane,et al.  Unsteady Urban Airflows and Their Impact on Small Unmanned Air System Operations , 2009 .

[9]  C. Tropea,et al.  The Flow Around Surface-Mounted, Prismatic Obstacles Placed in a Fully Developed Channel Flow (Data Bank Contribution) , 1993 .

[10]  Jay P. Boris,et al.  Large Scale Urban Simulations with FCT , 2012 .

[11]  Giovanni Fusina,et al.  Modeling of the Urban Gust Environment with Application to Autonomous Flight , 2008 .

[12]  Jon N. Ostler,et al.  Flight Testing Small, Electric Powered Unmanned Aerial Vehicles , 2005 .

[13]  K. J. Allwine,et al.  OVERVIEW OF URBAN 2000 A Multiscale Field Study of Dispersion through an Urban Environment , 2002 .

[14]  John F. Keane,et al.  Use of a High‐Fidelity UAS Simulation for Design, Testing, Training, and Mission Planning for Operation in Complex Environments , 2011 .

[15]  Randal W. Beard,et al.  A Staged Path Planner for an Unmanned Air System Performing Surveillance , 2012 .

[16]  Robert C. Nelson The Response of Aircraft Encountering Aircraft Wake Turbulence , 1974 .

[17]  Bernd Leitl,et al.  Validation of an LES Urban Aerodynamics Model for Homeland Security , 2009 .

[18]  J. Boris Dust in the Wind: Challenges for Urban Aerodynamics , 2005 .

[19]  Timothy W. McLain,et al.  Autonomous Vehicle Technologies for Small Fixed-Wing UAVs , 2003, J. Aerosp. Comput. Inf. Commun..

[20]  Jay P. Boris,et al.  Simulation of Fluid Dynamics Around Complex Urban Geometries , 2001 .

[21]  R.W. Beard,et al.  Unmanned air vehicle testbed for cooperative control experiments , 2004, Proceedings of the 2004 American Control Conference.

[22]  Arthur E. Bryson,et al.  Wind Modeling and Lateral Control for Automatic Landing (Originally schedulled for publication in the Journal of Aircraft) , 1977 .

[23]  Timothy W. McLain,et al.  Payload Directed Flight of Miniature Air Vehicles , 2009 .

[24]  D Vicroy Dan,et al.  Characterizing the Hazard of a Wake Vortex Encounter , 1997 .