基于修正质点模型误差补偿的轨迹预估

Trajectory Estimation Method Based on Error Compensation of Modified Point Mass Model

  • 摘要: 针对修正质点弹道模型在旋转稳定弹大发射角发射时落点预测误差过大的问题.通过分析结果表明,主要误差来自动力平衡角与攻角间的偏差.为此,提出了带误差补偿的修正质点弹道模型,通过引入误差补偿系数提高落点预测精度.同时,设计了扩展卡尔曼滤波模型,实现了误差补偿系数的最优估计.利用卫星定位模拟器和接收机进行了半实物仿真实验.结果表明,过弹道顶点后落点预测误差小于20 m,能够满足旋转稳定弹二维弹道修正等应用需求.

     

    Abstract: Modified point mass (MPM) model was introduced to predict the trajectory of spin-stabilized projectile. Error was analyzed when MPM model calculates a trajectory with large initial elevation. Theoretical analysis indicated that the modeled results error was mainly caused by deviation between gravity-induce trim angle and angle of attack(AOA). And gravity-induce trim angle showed an approximate linear correlation with the AOA. On that bases, extended Kalman filter was designed to compensate the model error and improve the trajectory prediction accuracy. The results of semi-physical simulation show that the accuracy of MPM model is obviously improved by error compensation. The impact point prediction error past the apogee is less than 20 m which means that the proposed method can meet the requirements of practical application.

     

/

返回文章
返回