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China | Control Systems Engineering | Volume 9 Issue 10, October 2020 | Pages: 1247 - 1250
Wind Speed / Direction Estimation of Quadrotor UAV Based on BP Neural Network
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