基于CKF的空空导弹跟踪及参数估计方法  

AAM tracking and parameters estimation method based on CKF

作　　者：吴笑天 王星[1] 赵玉 周一鹏[1] 羊劲衡 WU Xiao-tian;WANG Xing;ZHAO Yu;ZHOU Yi-peng;YANG Jin-heng(Aeronautics Engineering College,AFEU,Xi＇an 710038,China)

机构地区：[1]空军工程大学航空工程学院,陕西西安710038

出　　处：《飞行力学》2018年第5期58-61,66,共5页Flight Dynamics

基　　金：航空科学基金资助(20152096019)

摘　　要：针对AAM防御问题,提出一种基于容积卡尔曼滤波的AAM跟踪及参数估计方法。建立了AAM三自由度运动模型,通过引入阻力常数,实现了对导弹气动参数的估计;结合导弹模型及容积卡尔曼滤波方法构建了导弹参数估计滤波器,加入预处理步骤对导弹运动参数进行初始化,提升了方法的收敛速度和鲁棒性;仿真试验验证了该方法可以实现对来袭导弹高精度跟踪,并准确估计出制导律常数、补偿常数以及阻力常数。An AAM tracking and parameters estimation method is proposed. An AAM model of 3 DOF was set up; aerodynamic parameter estimation was realized by introducing the drag force constant. The missile parameter estimation filter was constructed by combining missile model and CKF method,preprocessing was added to initialize missile state parameters so that the convergence performance as well as robustness of the method was improved. Simulation results show that high precision missile tracking was achieved and guidance law constant,compensation constant and drag force constant were estimated accurately.

关 键 词：空空导弹 制导律 导弹跟踪 参数估计 容积卡尔曼滤波 

分 类 号：TJ765[兵器科学与技术—武器系统与运用工程]