内嵌飞行动力学的高旋姿态精准解算方法

The motion of high-spinning flying bodies in high-dynamic environment has strong coupling and complex nonlinearity, and it is difficult to obtain accurate attitude information from the attitude sensors strapdown to the body, so a flight dynamics-informed accurate determination method for high-spinning attitude is proposed in this paper. Firstly, a dual-spin mathematical model of high-spinning flying bodies is established, and the preset dynamic data are obtained and the ballistic intervals are divided. Secondly, using the preset dynamic data and the angular rate gyroscope measurement information as inputs, the roll attitude is determined by the affine rotational modulation inversion according to the kinematic model constraints. Finally, the unscented Kalman filter algorithm is designed to determine the pitch and yaw attitude according to the dynamics model constraints. The simulation results show that the ballistic-assisted attitude determination method has a high accuracy, and the average errors of roll, pitch and yaw attitudes are less than 1.84°, 0.21° and 0.22° under the conventional wind disturbances, which meets the accuracy requirements of the guidance and control system, and lays a technical basis of the intelligent modification for high-spinning flying bodies.