Onboard Wind Velocity Estimation Comparison for Unmanned Aircraft Systems

@article{Rhudy2017OnboardWV,
  title={Onboard Wind Velocity Estimation Comparison for Unmanned Aircraft Systems},
  author={Matthew B. Rhudy and Yu Gu and Jason N. Gross and Haiyang Chao},
  journal={IEEE Transactions on Aerospace and Electronic Systems},
  year={2017},
  volume={53},
  pages={55-66}
}
This paper presents a novel wind estimation approach, which is compared with existing ideas utilizing different combinations of common aircraft sensors to estimate the wind velocity in real time at the location of an aircraft. These different techniques were evaluated using simulation data as well as two experimental unmanned aircraft flight tests using validation data from a ground weather station. Significant performance advantage was shown of the new filtering technique over the existing… CONTINUE READING

Citations

Publications citing this paper.

References

Publications referenced by this paper.
Showing 1-10 of 40 references

On-line modeling and calibration of low-cost navigation sensors

J. N. Gross, Y. Gu, M. Rhudy, F. J. Barchesky, M. R. Napolitano
in Proc. AIAA Model. Simul. Technol. Conf., • 2011
View 5 Excerpts
Highly Influenced

Wind Estimation and Airspeed Calibration using a UAV with a Single-Antenna GPS Receiver and Pitot Tube

IEEE Transactions on Aerospace and Electronic Systems • 2011
View 7 Excerpts
Highly Influenced

Stochastic spatial wind field simulation using a potential field in Proc

M. Rhudy
AIAA Model. Simul. Technol. Conf., Atlanta, GA, • 2014
View 3 Excerpts
Highly Influenced

and M

M. Rhudy, T. Larrabee, H. Chao, Y. Gu
R. Napolitano UAV attitude, heading, and wind estimation using GPS/INS and an air data system in Proc. AIAA Guid., Navigat., Control Conf., Boston, MA, USA • 2013
View 4 Excerpts
Highly Influenced

Wind Estimation by Unmanned Air Vehicle with Delta Wing

Proceedings of the 2005 IEEE International Conference on Robotics and Automation • 2005
View 4 Excerpts
Highly Influenced

A New Extension of the Kalman Filter to NonlinearSystemsSimon

NonlinearSystemsSimon J. Julier Je rey K. Uhlmannsiju
1997
View 6 Excerpts
Highly Influenced

Real-time wind speed estimation and compensation for improved flight

IEEE Transactions on Aerospace and Electronic Systems • 2014
View 2 Excerpts

Time alignment techniques for experimental sensor data

M. Rhudy
Int. J. Comput. Sci. Eng. Survey, • 2014
View 1 Excerpt

Wind field velocity and acceleration estimation using a small

M. Rhudy, Y. Gu, H. Chao
UAV in Proc. AIAA Model. Simul. Technol. Conf., • 2014
View 1 Excerpt

Similar Papers

Loading similar papers…