A flying anemometer quadrotor: Part 1

The feasibility of using a Multi-rotor Unmanned Aerial System (MUAS) as flying anemometers for measurement of wind in urban environments was investigated. Flow mapping was conducted around the MUAS using smoke flow visualisation and multi-hole pressure probes to analyse the effects of the propellers on the measured flow speed and direction and determine a suitable mounting location for an on-board multihole pressure probe sensor system. It was determined that propeller-induced effects extended beyond a feasible on-board probe length. Therefore correction factors were developed from experimental measurements for application to the output of the on-board multi-hole pressure probe.

[1]  Jochen H. Schiller,et al.  Micro-drone for the characterization and self-optimizing search of hazardous gaseous substance sources: A new approach to determine wind speed and direction , 2010, 2010 IEEE International Workshop on Robotic and Sensors Environments.

[2]  Javier Moyano Cano.  Quadrotor UAV for wind profile characterization , 2013 .

[3]  dewi. de,et al.  Testing the Performance of a Ground-based Wind LiDAR System , 2011 .

[4]  Peter Richards,et al.  Flow patterns and pressure field around a full-scale building , 1993 .

[5]  Bert Blocken,et al.  50 years of Computational Wind Engineering: Past, present and future , 2014 .

[6]  Sridhar Ravi,et al.  The influence of turbulence on a flat plate aerofoil at Reynolds numbers relevant to MAVs , 2011 .

[7]  Simon C Watkins,et al.  The velocity field around the top of a tall building; model-scale and full-scale measurements , 2013 .

[8]  Gregory C. Lewin,et al.  Designing a hexacopter for the collection of atmospheric flow data , 2014, 2014 Systems and Information Engineering Design Symposium (SIEDS).

[9]  Simon Watkins,et al.  A feasibility study of micro air vehicles soaring tall buildings , 2012 .

[10]  Gregory A. Kopp,et al.  Wind loads on photovoltaic arrays mounted parallel to sloped roofs on low-rise buildings , 2015 .

[11]  Arko Lucieer,et al.  Development of a UAV-LiDAR System with Application to Forest Inventory , 2012, Remote. Sens..

[12]  Reece A. Clothier,et al.  An Evaluation of Multi-Rotor Unmanned Aircraft as Flying Wind Sensors , 2015 .

[13]  R. Siegwart,et al.  Towards autonomous mine inspection , 2014, Proceedings of the 2014 3rd International Conference on Applied Robotics for the Power Industry.

[14]  Reece A. Clothier,et al.  Full-scale flow measurement on a tall building with a continuous-wave Doppler Lidar anemometer , 2016 .

[15]  Derek A. Paley,et al.  Onboard Flow Sensing For Downwash Detection and Avoidance On Small Quadrotor Helicopters , 2015 .

[16]  Simon Watkins,et al.  Replication of Atmospheric Conditions for the Purpose of Testing MAVs. MAV Flight Environment Project , 2005 .

[17]  Simon J. Watson,et al.  Estimating the potential yield of small building‐mounted wind turbines , 2007 .