基于地形匹配的高超声速飞行器初始定向偏差在线辨识方法

针对高超声速飞行器机动发射条件下自瞄准时间短、初始定向偏差大的问题，提出一种基于地形匹配的初始定向偏差在线辨识方法。以综合初始对准和姿态控制的惯性系统导航误差模型为分析基础，融合相邻两个地形匹配区两次地形匹配定位结果，建立了初始定向偏差在线辨识模型，并从惯性系统工具误差系数偏差和地形匹配定位误差两方面讨论了辨识模型的适应性。以美国高超声速飞行器CAV H为研究对象建立仿真环境，采用蒙特卡洛法检验初始定向偏差辨识效果。仿真结果表明，在地形匹配定位误差为173.88 m (3σ)情况下，初始定向剩余偏差平均值为8.42″，最大值为34.65″，能够有效提高惯性系统导航精度，并且有助于缩短发射准备时间、提高武器系统生存能力。

Initial Directional Error OnLine Identification of HypersonicVehicle Based on Terrain Matching

To address the problem that the initial directional error is large with the short self aiming time under the condition of mobile launch of hypersonic vehicle, an on line identification method of initial directional error based on terrain matching is proposed. Two terrain matching results of the adjacent two terrain matching areas are fused and an on line identification model of initial directional error is established based on the analysis of the navigation error model of inertial system with initial alignment and attitude control. The adaptability of the identification model is discussed from two aspects of the instrument errors of the inertial system and the terrain matching error. The simulation environment is established with the CAV H hypersonic vehicle as the research object, and the identification effect of the initial directional error is tested by the Monte Carlo method. The simulation results show that the average value of the initial directional residual deviation is 8.42″ and the maximum is 34.65″ under the condition that the terrain matching positioning error is 173.88 m (3σ), which can effectively improve the navigation accuracy of inertial system. This model is helpful to shorten the launch preparation time and improve the survivability of weapon system.