国产欧美精品一区二区,中文字幕专区在线亚洲,国产精品美女网站在线观看,艾秋果冻传媒2021精品,在线免费一区二区,久久久久久青草大香综合精品,日韩美aaa特级毛片,欧美成人精品午夜免费影视

Aiming at the problem that the electric UAV cannot precisely control its motion attitude due to the interference of external factors, a robust attitude control method based on Bayesian improved neural network was proposed for electric UAV. The mathematical model of electric UAV is established by considering the composition, motion and dynamic principle of electric UAV. The sensor equipment is used to detect the real-time pose of the electric UAV and the attitude control target is determined by the way of flight path planning. Considering the wind threat condition and fault state, the attitude control quantity of UAV is calculated by using Bayesian improved neural network, and the robust attitude controller is used as the hardware support to realize the robust attitude control. Through the performance test, it is concluded that the attitude Angle control error of the optimized design method is always lower than 0.2°, and the fluctuation degree of the control error is no more than 0.5° under three different wind conditions. Compared with the traditional method, the optimized design method has obvious advantages in the accuracy and robustness of attitude control.