摘要
为了实时获取弹体飞行时的滚转角姿态信息,提高高速滚转制导弹药的射击精度,提出了一种使用两个MEMS加速度计构成滚转角测量系统的方法。开展了弹上姿态测量惯性传感器的配置方案研究;建立了系统量测方程与基于"当前"统计模型的状态方程;提出了一种改进的自适应UKF非线性滤波算法,采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,提高了滤波精度。同时,采用最小偏度单形采样策略减少了Sigma点的数量,提高了滤波解算速度。三轴飞行转台仿真实验研究表明:该方法测量精度高,收敛速度快,具有很高的工程应用价值。
In order to obtain the roll angle of projectile to improve shooting accuracy of high-speed roll guided munitions,the attitude measurement system was designed by using two micro-electro-mechanical systems（MEMS） accelerometers.The configuration of inertial sensors was studied.The measurement equation and state equation based on ＂current＂ statistical model of system were set up.An improved adaptive UKF algorithm was proposed,the adaptive velocity estimation model（AVE） was adopted to achieve the adaptive adjustment of the process noise covariance matrix for enhancing the precision of the filter,and the minimal skew simplex sampling strategy was adopted to reduce sigma points for enhancing calculation efficiency.The simulation of three-axis electric-driven flight turntable shows that this method has characteristics of high accuracy and fast convergence with a high value in engineering.
出处
《中国惯性技术学报》
EI
CSCD
北大核心
2012年第5期505-509,共5页
Journal of Chinese Inertial Technology
基金
国家部委预研基金项目资助(9140A09030606BQ0126)
关键词
滚转弹
姿态测量
“当前”统计模型
无迹卡尔曼滤波器
rolling projectile
attitude measurement
＂current＂ statistical model
unscented Kalman filter
