针对临近空间高超声速滑翔飞行器机动能力强、轨迹灵活多变的特点,提出了一种基于典型控制规律的高超声速滑翔飞行器轨迹预测方法.在前期先验信息的基础上,将典型控制规律下的控制参数——攻角和倾侧角建模成一阶Gauss-Markov过程,联合飞行器在半速度坐标系下的运动微分方程组成扩展的状态变量,选择飞行器的经纬高与速度大小作为无迹卡尔曼滤波的观测量并对控制参数进行滤波辨识,结合控制参数的辨识值重构其规律,进而预测飞行器的轨迹.通过仿真分析了对跳跃和非跳跃2种典型飞行轨迹的预报效果,结果表明所提方法对倾侧角不翻转的情况具有良好的预测精度.%Aiming at the features of high maneuverability and trajectory flexibility,a trajectory prediction method for hypersonic glide vehicle (HGV) is proposed based on the typical control law.On the foundation of the priori information,the control parameters-angles of attack and bank are considered as the first order Gauss-Markov process.The extended state variables are constructed by means of combining with the kinematic differential equations of HGV described in the half-speed coordinate system.The filte ring results of HGV position tracking after the longitude-latitude-altitude transformation and velocity are chosen as the measurements,and the unscented Kalman filter (UKF) is used to identify the control parameters.According to the identified values,the constructed control law can be obtained and the HGV trajectory can be predicted.The results of simulating and analyzing the two typical flight trajectories of skipping and no-skipping demonstrate that the proposed method can acquire the satisfactory prediction accuracy at the absence of the turnover of bank angle.
展开▼
