摘要
本文将Ｈ∞最优化方法应用于舰载武器捷联惯性导航系统的自对准过程，对失准角和仪表误差进行估计，克服了系统的动态和噪声统计不确切已知的情况下，传统卡尔曼（Ｋａｌｍａｎ）滤波器的性能恶化问题，不仅具有较好的鲁棒性，而且可以较好地解决系统所要求的快速性和准确性之间的矛盾。文章推导了动基座对准的方程并给出仿真结果。
The H ∞ optimization methodologe has been adapted to the initial alignment of strapdown inertial navigation system(SINS), which estimates the angle misalignment and improves the standard Kalman filter performances when the system noises is not known completely.The H ∞ filter is more robust and also improves the accuracy. Simulation results on warship carried tactical weapons have also been given in this paper.
出处
《系统工程与电子技术》
EI
CSCD
1997年第9期1-3,9,共4页
Systems Engineering and Electronics
基金
中船总基础研究基金
关键词
捷联式
惯性导航
最优设计
卡尔曼滤波
舰船
SINS, Moving base alignment, State estimation, H ∞ optimization
