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考虑通信延迟的多无人水下航行器极地协同导航算法

Polar Cooperative Navigation Algorithm for Multi-Unmanned Underwater Vehicles Considering Communication Delays.

作者信息

Yan Zheping, Wang Lu, Wang Tongda, Yang Zewen, Chen Tao, Xu Jian

机构信息

College of Automation, Harbin Engineering University, Harbin 150001, China.

出版信息

Sensors (Basel). 2018 Mar 30;18(4):1044. doi: 10.3390/s18041044.

Abstract

To solve the navigation accuracy problems of multi-Unmanned Underwater Vehicles (multi-UUVs) in the polar region, a polar cooperative navigation algorithm for multi-UUVs considering communication delays is proposed in this paper. UUVs are important pieces of equipment in ocean engineering for marine development. For UUVs to complete missions, precise navigation is necessary. It is difficult for UUVs to establish true headings because of the rapid convergence of Earth meridians and the severe polar environment. Based on the polar grid navigation algorithm, UUV navigation in the polar region can be accomplished with the Strapdown Inertial Navigation System (SINS) in the grid frame. To save costs, a leader-follower type of system is introduced in this paper. The leader UUV helps the follower UUVs to achieve high navigation accuracy. Follower UUVs correct their own states based on the information sent by the leader UUV and the relative position measured by ultra-short baseline (USBL) acoustic positioning. The underwater acoustic communication delay is quantized by the model. In this paper, considering underwater acoustic communication delay, the conventional adaptive Kalman filter (AKF) is modified to adapt to polar cooperative navigation. The results demonstrate that the polar cooperative navigation algorithm for multi-UUVs that considers communication delays can effectively navigate the sailing of multi-UUVs in the polar region.

摘要

为解决多无人水下航行器(multi-UUVs)在极地地区的导航精度问题,本文提出了一种考虑通信延迟的多无人水下航行器极地协同导航算法。无人水下航行器是海洋工程中用于海洋开发的重要设备。对于无人水下航行器完成任务而言,精确导航是必要的。由于地球子午线的快速收敛和恶劣的极地环境,无人水下航行器难以确定真实航向。基于极地网格导航算法,无人水下航行器在极地地区的导航可通过捷联惯性导航系统(SINS)在网格坐标系中实现。为节省成本,本文引入了一种主从式系统。主无人水下航行器帮助从无人水下航行器实现高精度导航。从无人水下航行器根据主无人水下航行器发送的信息以及超短基线(USBL)声学定位测量的相对位置来校正自身状态。通过该模型对水下声通信延迟进行量化。本文考虑水下声通信延迟,对传统自适应卡尔曼滤波器(AKF)进行改进以适应极地协同导航。结果表明,考虑通信延迟的多无人水下航行器极地协同导航算法能够有效地引导多无人水下航行器在极地地区航行。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ed48/5948495/d7c756017840/sensors-18-01044-g001.jpg

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