一种弹体滚转姿态估计的新方法  

A Novel Method for Estimating Roll Attitude of Projectile

作　　者：刘朝华[1,2] 陈家斌[1] 王勇[1] 毛玉良[1] 宋春雷[1] 

机构地区：[1]北京理工大学自动化学院,北京100081 [2]天津职业技术师范大学机械工程学院,天津300222

出　　处：《北京理工大学学报》2013年第10期1040-1044,共5页Transactions of Beijing Institute of Technology

基　　金：国家部委预研基金资助项目(9140A09030606BQ0126)

摘　　要：针对制导弹药滚转姿态测量的需求,提出了一种无陀螺姿态测量的方法.采用两个MEMS加速度计进行弹上姿态传感器的配置,建立了基于截断正态概率密度模型的系统状态方程,利用速度估计自适应方法实现了对过程噪声方差阵的自适应调整,采用强跟踪滤波器(STF)直接进行滚转状态估计.由于STF滤波器具有对模型参数失配的鲁棒性以及对突变状态的强跟踪能力,改善了算法的估计精度.仿真实验研究表明:该方法结构简单、测量精度高、收敛速度快,具有很高的工程应用价值.To satisfy the requirements of measuring the roll attitude of guided amunition, a novel gyroscope-free attitude measurement method was proposed. The configuration of inertial sensors was designed by two micro-electro-mechanical systems （MEMS） accelerometers in attitude measurement system. System state equation was set up based on truncation Gauss probability density model. The adaptive velocity estimation model （AVE） was adopted to achieve the adaptive adjustment of the process noise covariance matrix. A strong tracking filter （STF） was employed for state estimation. With the robustness to model unfitness and the strong tracking ability to state variety, the STF could improve the precision of attitude estimation. Simulation study shows that this method has the characteristics of high accuracy and fast convergence, and also it has high value in engineering practice.

关 键 词：制导弹药 无陀螺姿态测量 截断正态概率密度模型 强跟踪滤波器 

分 类 号：TJ765[兵器科学与技术—武器系统与运用工程]