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)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


Downloads: 56 | Views: 290

Research Paper | Control Systems Engineering | China | Volume 9 Issue 10, October 2020 | Popularity: 6.2 / 10


     

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


Edition: Volume 9 Issue 10, October 2020


Pages: 1247 - 1250



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

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