基于气动参数分离变换的高超声速目标动力学模型  

Hypersonic target dynamical model based on aerodynamic parameters separation transformation

作　　者：涂灏 叶泽浩 宋亚伟 梁军涛 TU Hao;YE Zehao;SONG Yawei;LIANG Juntao(Air Force EarlyWarning Academy,Wuhan 430019,China)

机构地区：[1]空军预警学院,武汉430019

出　　处：《空天预警研究学报》2022年第4期252-255,267,共5页JOURNAL OF AIR & SPACE EARLY WARNING RESEARCH

摘　　要：针对基于常规运动模型的跟踪算法难以实现对临近空间高超声速滑翔飞行器(NSHGV)的有效跟踪问题,提出了一种基于气动参数分离变换的高超声速目标动力学模型.根据NSHGV目标的传统动力学模型,分析了气动参数的内含因子,将气动参数内含的气动系数、质面比以及滚转角分别分离出来作为待估参量扩展到状态向量中,建立了合适的状态模型方程.仿真结果表明,本文模型对NSHGV的跟踪精度明显好于Singer运动学模型;与基于传统动力学模型相比,本文模型在各参量的估计精度上都有提升,尤其是在各速度估计上提升了21%~22%,在各气动参数估计上提升了52%~82%.The tracking algorithm based on conventional motion model has difficulty in tracking near-space hypersonic gliding vehicle(NSHGV) effectively. In order to solve the problem above, this paper proposes a dynamical model based on the aerodynamic parameters separation transformation for hypersonic target. First, the internal factors of aerodynamic parameters are analyzed according to the traditional dynamical model for the NSHGV target. Then, the aerodynamic coefficient, mass-surface ratio and roll angle contained in aerodynamic parameters are isolated and extended to the state vector as parameters to be estimated, with an appropriate state model equation established. Simulation results show that the proposed model’s tracking accuracy to NSHGV target is obviously better than that of the Singer kinematic model, and that compared with the traditional dynamical model,the proposed model has improved the estimation accuracy of all parameters, especially improved the velocity estimation by 21%-22%, and the aerodynamic parameter estimation by 52%-82%.

关 键 词：气动参数 雷达目标跟踪 高超声速滑翔飞行器 临近空间 动力学模型 

分 类 号：TN957[电子电信—信号与信息处理]