基于扩展卡尔曼滤波的气动参数在线修正方法

提出了在风洞试验获取的气动参数的基础上对由各种误差和扰动引起的气动偏差进行修正的方法。采用扩展卡尔曼滤波算法,利用雷达获取在线飞行弹丸的一段飞行数据(位置和速度),使用已知的气动参数对飞行数据进行过滤得到气动参数的修正系数,对已知气动参数中的阻力系数和升力系数进行修正,为后段弹道计算提供更加精确的气动参数。通过仿真计算,验证了上述方法的有效性,并利用弹道外推计算,通过对比落点误差证明了上述方法的精确性,为气动参数辨识和弹道修正提出了新的途径。

Online Correction Method of Aerodynamic Parameters Based on Extended Kalman Filter

Based on the aerodynamic parameters obtained in wind tunnel test,a method is proposed to correct the aerodynamic deviations caused by various errors and disturbances.Using extended Kalman filter algorithm,the radar was used to obtain the flight data of flight projectile(position and velocity)online.The known pneumatic parameters were used to filter the flight data to get the aerodynamic parameters and to amend the drag coefficient and lift coefficient of the known pneumatic parameters,which offers more accurate aerodynamic parameters for the ballistic calculation of the rear segment.The effectiveness of the proposed method was verified through simulation.The ballistic extrapolation calculation was used to prove the accuracy of the method by comparing the drop point errors,which provides a new way for aerodynamic parameter identification and ballistic correction.