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Wind and Airspeed Error Estimation with GPS and Pitot-static System for Small UAV

  • Received : 2016.03.08
  • Accepted : 2017.05.08
  • Published : 2017.06.30

Abstract

This paper presents a method to estimate steady wind and airspeed bias error using an aircraft with GPS and airspeed sensor. The estimation uses the vector relation between the inertial, air, and wind velocities through a novel design of an extended Kalman filter. The observability analysis is also presented to show that the aircraft is required to keep changing its flight direction for the desired observability. The feasibility and performance of the proposed algorithm is demonstrated through simulations and flight experiments.

Keywords

References

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Cited by

  1. Vision-Based Wind and Position Estimation with Fixed-Wing Unmanned Aerial Vehicle vol.41, pp.10, 2018, https://doi.org/10.2514/1.G003646