Wind Speed / Direction Estimation of Quadrotor UAV Based on BP Neural Network
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
www.ijsr.net | Open Access | Fully Refereed | Peer Reviewed International Journal

ISSN: 2319-7064

Research Paper | Control Systems Engineering | China | Volume 9 Issue 10, October 2020

Wind Speed / Direction Estimation of Quadrotor UAV Based on BP Neural Network

Kai-Hong Wu

In view of the problem that the rotor UAV only uses theIMU to estimate the ambient wind speed / direction, the existing literature generally solves the problem through the UAV's dynamic model or aerodynamic model [1], but the models used are more simplified and complex. In this study, by establishing the function fitting relationship between the ambient wind speed / wind direction and the conventional airborne IMU and other relevant flight parameters of the rotorcraft, the estimation of the ambient wind speed / direction in the flight process of the rotorcraft can be completed.

Keywords: BP Neural Network, Quadrotor, Wind speed, direction estimation, Ambient air flow

Edition: Volume 9 Issue 10, October 2020

Pages: 1247 - 1250

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How to Cite this Article?

Kai-Hong Wu, "Wind Speed / Direction Estimation of Quadrotor UAV Based on BP Neural Network", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=SR201017184507, Volume 9 Issue 10, October 2020, 1247 - 1250

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