Accession Number:

AD1104280

Title:

A K Nearest Neighborhood-Based Wind Estimation for Rotary-Wing VTOL UAVs

Descriptive Note:

Journal Article - Open Access

Corporate Author:

Rutgers, The State University of New Jersey Piscataway United States

Personal Author(s):

Report Date:

2019-03-30

Pagination or Media Count:

13.0

Abstract:

Wind speed estimation for rotary-wing vertical take-off and landing VTOL UAVs is challenging due to the low accuracy of airspeed sensors, which can be severely affected by the rotors down-wash effect. Unlike traditional aerodynamic modeling solutions, in this paper, we present a K Nearest Neighborhood learning-based method which does not require the details of the aerodynamic information. The proposed method includes two stages an off-line training stage and an on-line wind estimation stage. Only flight data is used for the on-line estimation stage, without direct airspeed measurements. We use Parrot AR.Drone as the testing quadrotor, and a commercial fan is used to generate wind disturbance. Experimental results demonstrate the accuracy and robustness of the developed wind estimation algorithms under hovering conditions. Wind speed estimation for rotary-wing vertical take-off and landing VTOL UAVs is challenging due to the low accuracy of airspeed sensors, which can be severely affected by the rotors down-wash effect. Unlike traditional aerodynamic modeling solutions, in this paper, we present a K Nearest Neighborhood learning-based method which does not require the details of the aerodynamic information. The proposed method includes two stages an off-line training stage and an on-line wind estimation stage. Only flight data is used for the on-line estimation stage, without direct airspeed measurements. We use Parrot AR.Drone as the testing quadrotor, and a commercial fan is used to generate wind disturbance. Experimental results demonstrate the accuracy and robustness of the developed wind estimation algorithms under hovering conditions.

Subject Categories:

  • Pilotless Aircraft
  • Aerodynamics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE