摘要
介绍了利用发明问题解决理论(TRIZ)来解决海军直升机惯性导航系统(INS)误差随时间积累的问题,具体方案为:如果INS的初始匹配位置误差大于设定的阈值,则利用T算法、S算法和卡尔曼滤波三种算法组合的方法来提高匹配精度。如果初始匹配误差小于设定的阈值,则省略T算法的大范围搜索,直接用S算法进行匹配,然后经过卡尔曼滤波器进行最优估计,进而修正INS的导航误差。仿真结果表明,其定位精度可以保持在1个网格之内,证明了提出方案的有效性。
The theory of innovation problem solvin( TRIZ) was used to limit error accumulation of the military helicopter Inertial Navigation System( INS) in this paper,the program was: if the INS match position error was greater than the preset threshold,then the T algorithm was firstly used to reduce the INS position error,S algorithm was used to get the best matching position,two differences was used as the Kalman filter measurement and INS errors was corrected. If the INS position error was within range of S precision permitted,S algorithm was used to match directly. And optimal estimation could be got by Kalman filter and INS error could be corrected. Simulation results showed that the positional accuracy could stay within one grid,the effectiveness of the program was proved.
作者
黄新松
于晓辉
汪智超
HUANG Xinsong;YU Xiaohui;WANG Zhichao(Military Representative Office of Naval Equipment Department in Nanchang Area,Nanchang 330000,China)
出处
《直升机技术》
2019年第4期23-27,共5页
Helicopter Technique
