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Publisher

Embry-Riddle Aeronautical University

Abstract

This research project estimated the wind velocity of a small flexible-wing Unmanned Aerial Vehicle using a software developed the analysis of the data collected by airspeed and attitude sensors. The purpose of this paper is to contribute to the extensive research of destructive vibrations on flexible wing aircraft. The estimation of the wind velocity will be implemented as part of the control design project. This paper is based on literature review of the estimation of wind velocity using only kinematic relationships with a Kalman Filter. The testbed used for wind estimation was a Volantex Ranger EX 757-3. Experimental data of velocity, altitude, and attitude were obtained by performing circular maneuvers at Daytona Beach Radio Control Association. After sampling and processing all the data, the computer code returns the wind velocity estimation of a North-East-Down frame and the airspeed sensor calibration factor. Results show a valid estimation when compared with the local weather data of the date of flight and the sensor calibration factor within typical range. This method of wind velocity estimation is proven to be valid and will yield to the estimation of the incident angles using aerodynamic forces relationships.

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