Rate the Article: Wind Speed / Direction Estimation of Quadrotor UAV Based on BP Neural Network, IJSR, Call for Papers, Online Journal
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: 331

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



Rate this Article


Select Rating (Lowest: 1, Highest: 10)

5

Your Comments (Only high quality comments will be accepted.)

Characters: 0

Your Full Name:


Your Valid Email Address:


Verification Code will appear in 2 Seconds ... Wait

Top