基于卡尔曼滤波的轴向加速度动态误差补偿方法  

Dynamic Calibration Method of Axial Acceleration Based on Kalman Filter

作　　者：杨慧娟[1,2] 黄铮 霍鹏飞 王超 

机构地区：[1]中北大学仪器科学与动态测试重点实验室,太原030051 [2]中北大学信息与通信工程学院,太原030051 [3]西安机电动态控制重点实验室,西安710065

出　　处：《弹道学报》2014年第1期103-106,共4页Journal of Ballistics

基　　金：国防预研基金项目

摘　　要：为了减小高速旋转弹上加速度传感器的量测误差,提出了基于质点弹道模型的比例系数卡尔曼滤波估计算法。结合转速的实时测量,对加速度传感器输出数据进行动态补偿,得到了轴向加速度的测量值。蒙特卡洛模拟仿真和外场试验证实了理论分析的正确性和误差消除方法的有效性。外场试验表明,轴向加速度测量值相对雷达测量值误差的均值小于0.05g,均方差小于0.32g,轴向加速度测量误差的均值由0.1g降低到0.01g的量级,大幅度地提高了轴向加速度测量精度。To reduce measurement errors of acceleration sensor on the high-speed rotating bomb, Kalman filter estimation algorithm was proposed based on scaling factor of particle traj ectory model.The rotating speed was measured real-timely,and acceleration sensor output-data were dy-namically compensated.The measured value of axial acceleration was obtained.Monte-Carlo simulations and field tests confirm that the theoretical analysis is correct,and the method of elim-inating error is effective.Field tests show that average error of axial-acceleration measured-value is less than 0.05g compared with radar measurements,and the mean square deviation is less than 0.32g.The magnitude of the average measured-error of axial acceleration decreases from 0.1g to 0.01g.The axial-acceleration measurement-accuracy is greatly improved.

关 键 词：轴向加速度 卡尔曼滤波 误差补偿 

分 类 号：TJ765[兵器科学与技术—武器系统与运用工程]