摘要
潜艇水下航行环境复杂,现有测试技术无法对潜浮速率和纵倾角速度进行精确测量,论文中以潜艇垂直面非线性运动方程为基础,利用扩展卡尔曼滤波原理,得到潜艇垂直面参数的实时估计方法。仿真结果表明,该方法估计的潜浮速率、纵倾角速度有很高的精度。
Because of the complex underwater navigating environment,the existing testing technology has struggled to achieve accurate measurements of submerged floating rate and pitch velocity.The paper,based on submarine vertical nonlinear motion equations,made use of the theory of extended Kalman filter to achieve the instantaneity estimation methods of submarine vertical plane parameters.The simulation results show that submerged floating rate and pitch velocity estimated by the designed method have high accuracy.
出处
《舰船电子工程》
2013年第3期58-59,共2页
Ship Electronic Engineering
关键词
潜艇
扩展卡尔曼滤波
状态估计
submarine
extended Kalman filter
state estimation
