DGLR-Publications Database - Detailview

Title:

A Model-Based Wind Estimation Method for Unmanned Helicopter

Author(s):
S. Nazarov, P.-O. Gutman
Abstract:
Atmospheric wind and turbulence significantly affect flight efficiency, control performance, and safety. This paper describes a new original in-flight algorithm for wind/turbulence field estimation using a standard unmanned rotorcraft sensor kit and control signals produced by the flight control system. A linear identified model is proposed as a basic model of helicopter dynamics. This model is modified into a quasi-nonlinear model by adding trim data and nonlinear kinematic equations. A nonlinear Unscented Kalman Filter is designed using the quasi-nonlinear model and the scaled unscented transformation to estimate wind components in the North-East-Down frame. The resulting estimate is split using moving averaging into the steady horizontal wind and atmospheric turbulence. This algorithm has been tested on a continuous model-stitched simulation in which the wind and atmospheric turbulence simulated by the Dryden model have been added. The result was also validated by an actual Steadicopter Black Eagle (BE-50) unmanned helicopter flight test.
Event:
49th European Rotorcraft Forum 2023, Bückeburg, 2023
Mediatype:
Conference Paper
Language:
englisch
Format:
21,0 x 29,7 cm, 17 Pages
Published in:
DGLR-Bericht, 2023, 2023-01, 49th European Rotorcraft Forum 2023 - Proceedings; S.1-17; 2023; Deutsche Gesellschaft für Luft- und Raumfahrt - Lilienthal-Oberth e.V., Bonn
Price:
NA
ISBN:
ISSN:
Comment:
Classifikation:
Keywords:
Available:
Bestellbar
Published:
2023


This Document is part of a superordinate publication:
49th European Rotorcraft Forum 2023 - Proceedings