电子测量与仪器学报

杨希文,常兴国,吴峻.SRD5-CKF 算法在制导炮弹空中对准中的应用[J].电子测量与仪器学报,2023,37(9):203-212

SRD5-CKF 算法在制导炮弹空中对准中的应用

Application of SRD5-CKF algorithm in in-flight alignment of guidance projectile

DOI：

中文关键词: 制导炮弹空中对准抗干扰对准 SRD5-CKF 算法自适应因子矩阵

英文关键词:in-flight alignment of guidance projectile anti-interference alignment SRD5-CKF adaptive factor matrix

基金项目:

作者	单位
杨希文	1. 东南大学仪器科学与工程学院，2. 微惯性仪表与先进导航技术教育部重点实验室
常兴国	1. 东南大学仪器科学与工程学院，2. 微惯性仪表与先进导航技术教育部重点实验室
吴峻	1. 东南大学仪器科学与工程学院，2. 微惯性仪表与先进导航技术教育部重点实验室

Author	Institution
Yang Xiwen	1. School of Instrument Science and Engineering, Southeast University，2. Key Laboratory of Micro-Inertial Instrument and Advanced Navigation Technology, Ministry of Education
Chang Xingguo	1. School of Instrument Science and Engineering, Southeast University，2. Key Laboratory of Micro-Inertial Instrument and Advanced Navigation Technology, Ministry of Education
Wu Jun	1. School of Instrument Science and Engineering, Southeast University，2. Key Laboratory of Micro-Inertial Instrument and Advanced Navigation Technology, Ministry of Education

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中文摘要:

针对制导炮弹进行空中对准时处于高过载、高动态的运动状态以及存在不规则气流扰动等不确定外界干扰的恶劣环境,提出一种基于序列二次规划法的自适应降维五阶容积卡尔曼滤波算法(SRD5-CKF),使用投影统计(PS)原理对滑动窗口内的新息向量进行检测,如果新息向量出现异常值,则对其进行重新赋权,实时调整量测噪声协方差阵;同时使用求解速度快并且收敛性好的序列二次规划法求解自适应因子矩阵,实现在复杂干扰下对量测噪声协方差阵的最优化估计。仿真试验表明,在受到短时强干扰以及瞬间冲击等复杂干扰下,SRD5-CKF 具有更快的收敛速度和更高的收敛精度,天向失准角对准精度达到 0. 25°,东向、北向失准角对准精度达到 0. 1°,能够满足制导炮弹空中快速对准的要求。

英文摘要:

In view of the harsh environment with uncertain external disturbances such as irregular airflow while in high overload and high dynamics motion state during the in-flight alignment of guidance projectile, an adaptive reduced dimension fifth-order cubature Kalman filter based on sequential quadratic programming ( SRD5-CKF) is proposed in this paper, which uses the projection statistics ( PS) principle to detect the innovation vector in the sliding window. If the innovation vector has outlier, it will be reweighted to adjust the measurement noise covariance matrix in real-time. At the same time, the sequential quadratic programming method with fast solving speed and good convergence is used to solve the adaptive factor matrix, so as to realize the optimal estimation of the measurement noise covariance matrix under complex interference. Simulation experiments have shown that the SRD5-CKF proposed in this paper has a faster convergence speed and higher convergence accuracy under complex disturbances such as short-term strong interference and instantaneous impact. The alignment accuracy of the upward misalignment angle reaches 0. 25°, and the alignment accuracy of the eastward and northward misalignment angles reaches 0. 1°, which can meet the requirements of rapid in-flight alignment of guidance projectile.

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