一种基于EKF的弹丸最优速度预测算法  

Aprojectile Optimal Speed Prediction Algorithm Based on EKF

作　　者：张煜林[1] 刘丹[1] 张丕状[1] 李媛[1] 

机构地区：[1]中北大学信息探测与处理技术研究所,山西太原030051

出　　处：《数学的实践与认识》2016年第10期130-135,共6页Mathematics in Practice and Theory

基　　金：国防科工局项目

摘　　要：弹丸运动速度的高精度测量是测量弹丸膛内其他运行参数的基础.采用极值法测量弹丸运动速度时,传统的做法是直接对解算出的速度信息进行数据拟合,用拟合结果去描述弹丸速度信息,这样做在一些工程应用中虽然能达到技术指标,但误差还是较大.提出基于扩展卡尔曼滤波的预测算法,对极值法解算出的弹丸速度信息进行最优预测,进一步提高了弹丸速度的测量精度.通过实测信号进行验证分析,弹丸速度的测量值更加逼近理论值,误差更小,方法具有工程应用价值.High-precision t of the projectile＇s velocity is the basis of other op- erating parameters measurement in bore. The traditional extreme value measurement of the projectile＇s velocity is directly fitting the calculated speed of information, and using the fitted data to describe the projectile velocity information. Although this method can achieve techni- cal indicators in a number of engineering applications, but the error is still large. In this paper, a prediction algorithm based on extended Kalman filter was proposed for optimal predicting the projectile velocity information calculated by extreme value method, which further improve the measurement accuracy of the projectile velocity. Through the measured signal verification analysis, projectile velocity measurement is closer to the theoretical value, and the error is smaller. This method has certain engineering application value.

关 键 词：弹丸运动 极值法 扩展卡尔曼滤波 数据拟合 

分 类 号：TJ410[兵器科学与技术—火炮、自动武器与弹药工程]