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

Kai-Hong Wu

Abstract: 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

How to Cite?: Kai-Hong Wu, "Wind Speed / Direction Estimation of Quadrotor UAV Based on BP Neural Network", Volume 9 Issue 10, October 2020, International Journal of Science and Research (IJSR), Pages: 1247-1250, https://www.ijsr.net/getabstract.php?paperid=SR201017184507, DOI: https://dx.doi.org/10.21275/SR201017184507