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This work proposes a method for generating urban wind fields using large-eddy simulation around discrete structures such as a single building or urban canyon. The wind velocity data is stored in a database and queried by a flight simulator to design and optimize autonomous control algorithms. A custom quadrotor TARA, with a motor to motor distance of approximately 0.4 m, uses PID position control to evaluate the position deviation at two locations in three background wind conditions. Position hold in the wake produces deviation spheres of radii 2.13, 5.67 and 13.38 body lengths with no wind, RANS wind and LES wind respectively. Position hold above the building roof produces deviation spheres with radii of 4.16, 10.44 and 18.80 body lengths before a building strike with LES wind. The LES wind results in a radius increase of up to 525% in comparison to no wind and up to a 135% increase for RANS wind.

Urban Wake Field Generation Using LES for Application to Quadrotor Flight