基于分类因子自适应滤波的惯导传递对准精度评估方法  

Transfer alignment accuracy evaluation for SINS based on classified factors adaptive filter

作　　者：程建华[1] 陈岱岱[1] 田军[2] 

机构地区：[1]哈尔滨工程大学自动化学院,哈尔滨150001 [2]海军装备部,北京100000

出　　处：《中国惯性技术学报》2013年第5期598-603,共6页Journal of Chinese Inertial Technology

基　　金：国家自然科学基金(61104036;61273081);中央高校基本科研业务费专项资金(HEUCFX41309)

摘　　要：针对舰载武器捷联惯导系统传递对准精度评估对载体线运动特性要求高的问题,提出了一种基于分类因子自适应滤波的"速度+位置+姿态"匹配传递对准精度评估方法。该方法以差分GPS提供的速度、位置为主参考信息,以舰载主惯导的姿态为辅助参考信息构造复合量测量,设计了基于分类因子的自适应滤波器,以提高主惯导水平和方位信息利用率,利用卡尔曼固定区间平滑算法实现了舰载武器捷联惯导系统传递对准精度的准确评估。仿真分析结果表明:该方法仅依赖舰船的摇摆运动,就能实现对舰载武器惯导姿态误差的有效估计,且对姿态量测噪声时变特性具有良好的适应性,估计误差小于10%,是一种有效实用的传递对准精度评估方法。In view of the high requirement for the vehicle linear movement characteristic in the conventional transfer alignment accuracy evaluation for shipborne weapon SINS, a new approach of accuracy evaluation based on classified factors adaptive filter is proposed by augmenting the 'velocity+position+attitude' match. This approach uses the velocities and position of the differential GPS as main reference information, and uses the attitudes of the main SINS as adjective reference information to compose the multi-observation variables. A classified factors adaptive filter was designed to improve the used-ratio of SINS information. A fixed interval Kalman smoothing algorithm was used to realize the accurate evaluation of transfer alignment. Computer simulation results show that the new method can realize fast and accurate attitude evaluation only by the ship's sway, and exhibits excellent adaptability to time-dependence measure noises of attitudes. This approach is an effective method for transfer alignment accuracy evaluation, and the estimation error is less than 10%.

关 键 词：捷联式惯导系统 传递对准 精度评估 分类因子自适应滤波 

分 类 号：U666.1[交通运输工程—船舶及航道工程]