摘要
针对航天测量船组合导航系统实际工作环境,提出采用模糊卡尔曼滤波器,将模糊控制作为一个数据平滑窗口与常规卡滤波器相结合,利用测量数据中的残差序列、残差序列变化率和收敛因子等参数作为模糊控制输入,解决了导航系统中量测噪声不零均值白噪声的问题;对采用该算法的测量船组合导航系统进行了仿真实验,得到与理论分析相吻合的结果并提高了导航数据的精实验表明,采用该滤波技术的测量船组合导航系统是可靠的。
Fuzzy Kalman filter is proposed. To resolve the problem that measurement noise is not a zero-mean, white noise with a Gaussian distribution,fuzzy control is combined with Kalman filter as a data-smooth unit and the information of residual,change rate of residual,converged factor and other parameters are used in fuzzy Kalman filter aiming at astronautic measurement ship＇s factual working environment. Computer simulation is implemented and gets the same results that coincide with theoretical, and navigation information＇s accuracy is improved. Experiment shows its feasibility and application.
出处
《计算机测量与控制》
CSCD
2006年第9期1165-1167,1218,共4页
Computer Measurement &Control
关键词
模糊控制
卡尔曼滤波器
组合导航
航天测量船
fuzzy control
Kalman filter
combined navigation
astronautic measurement ship
