首页 | 本学科首页   官方微博 | 高级检索  
     检索      

多UUV协同导航与定位研究
引用本文:张立川,刘明雍,徐德民,严卫生.多UUV协同导航与定位研究[J].系统仿真学报,2008,20(19):5342-5344,5349.
作者姓名:张立川  刘明雍  徐德民  严卫生
作者单位:西北工业大学航海学院
基金项目:教育部跨世纪优秀人才培养计划
摘    要:多水下无人航行器(UUV)协同导航定位技术是解决海洋中间层(Middle Depth Zone)水下导航问题的重要途径,研究了主从式多UUv基于水声传播延迟(Time-Of-Flight,TOF)的协同导航定位问题.主从式导航结构中,主UUV内部装备高精度导航设备,从UUV内部装备低精度导航设备,外部均装备水声装置测量相对位置关系,利用扩展卡尔曼滤波(EKF)算法融合内部和外部传感器信息,对从UUV进行实时定位.研究结果表明,利用UUV的相对位置观测,可以显著提高导航定位精度.

关 键 词:时间延迟  多UUV  协同导航与定位  扩展卡尔曼滤波

Cooperative Localization and Navigation for Multiple UUVs
ZHANG Li-chuan,LIU Ming-yong,XU De-min,YAN Wei-sheng.Cooperative Localization and Navigation for Multiple UUVs[J].Journal of System Simulation,2008,20(19):5342-5344,5349.
Authors:ZHANG Li-chuan  LIU Ming-yong  XU De-min  YAN Wei-sheng
Abstract:Research on cooperative navigation and localization of multi-UUVs is an important topic to solve the navigation problem in Middle-Depth-Zone. An algorithm based on acoustic signal one-way- travel-time (Time-Of-Flight, TOF) for multi-UUVs was presented. In the Leader-Fellow structure, the master UUV is equipped with high precision navigation system, and the slaver UUV is equipped with low precision navigation system. They all are equipped with acoustic device to measure relative location. An Extended Kalman Filter (EKF) was designed, which fused the proprioceptive and exteroceptive sensors. The research results prove that the navigation accuracy has been improved effectively by using cooperative navigation and localization method.
Keywords:Time-Of-Flight  Multi-UUVs  Cooperative Navigation and Localization  EKF UUV
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号