鲁棒滤波及舰载武器捷联系统初始对准研究

Application of H ∞ Optimization to the SINS Alignment

在系统的动态和噪声统计不确切了解的情况下，将Ｈ∞最优化方法用于舰载武器捷联惯性导航系统的初始对准过程，对失准角和仪表误差进行估计，解决了传统卡尔曼（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．最后推导了动基座对准方程。

The H ∞ optimization methodology is adopted to the initial alignment of strap down inertial navigation system(SINS),which estimates the angle misalignment and improves the standard Kalman filter performances when the system noises are not known completely.The H ∞ filter is more robust and also improves the accuracy. The simulation results on a warship carried tactical weapons are given in the paper.