Using unmanned underwater vehicles as research platforms in coastal ocean studies     

Kendall L.Carder  David K.Costello 《中国海洋大学学报(英文版)》2003,2(2):211-217

The advantages of using unmanned underwater vehicles in coastal ocean studies are emphasized. Two types of representative vehicles, remotely operated vehicle (ROV) and autonomous underwater vehicle (AUV) from University of South Florida, are discussed. Two individual modular sensor packages designed and tested for these platforms and field measurement results are also presented. The bottom classification and albedo package, BCAP, provides fast and accurate estimates of bottom albedos, along with other parameters such as in-water remote sensing reflectance. The real-time ocean bottom optical topographer, ROBOT, reveals high-resolution 3-dimentional bottom topography for target identification. Field data and results from recent Coastal Benthic Optical Properties field campaign, 1999 and 2000, are presented. Advantages and limitations of these vehicles and applications of modular sensor packages are compared and discussed.  相似文献   

UUVs集群协同定位的分散式增广信息滤波方法     

杜祯强  柴洪洲  向民志  章繁  黄紫如  朱华巍 《测绘学报》2022,51(2):182-191

无人水下航行器集群协同作业能够扩展单体UUV的感知范围,实现单体UUV无法或难以完成的复杂任务。由于水下环境的复杂性及UUV各传感器存在观测限制、时延等问题,传统分散式Kalman滤波方法所需要的庞大实时通信在实际中难以实现,使得当前UUVs集群协同定位为不严密的解算。本文提出一种以增广信息滤波为核心的UUVs集群协同定位分散式滤波方法,在顾及算法严密性的基础上实现了UUVs分散式协同定位。每个UUV平台根据本地的传感器数据建立自己的状态链,同时广播自己的观测信息,各个平台协同完成信息矩阵的Cholesky修正。基于严密的数理理论证明了所提出的UUVs协同定位的分散式滤波与集中式滤波的一致性,并与传统方法进行对比分析。理论仿真分析表明,较之传统方法单体UUV的观测更新或两个UUV之间的相互观测都会导致UUVs集群全体状态更新,本文方法使得观测更新仅与观测直接涉及的UUV相关,有效地降低了通信载荷,实现观测信息的即插即用,扩展性良好。  相似文献   

Pseudo long base line navigation algorithm for underwater vehicles with inertial sensors and two acoustic range measurements     

Pan-Mook Lee  Bong-Huan Jun 《Ocean Engineering》2007,34(3-4):416-425

This paper presents an integrated navigational algorithm for unmanned underwater vehicles (UUV) using two acoustic range transducers and strap-down inertial measurement unit (SD-IMU). A range measurement model is derived for a UUV having one acoustic transducer and cruising around two reference transponders at sea floor or surface. The proposed algorithm, called pseudo long base line (PLBL), estimates the position of the vehicle integrating the SD-IMU signals corrected with the two range measurements. Extended Kalman filter was applied to propagate error covariance, to update measurement errors and to correct state equation whenever the external measurements are available. Simulations were conducted to illustrate the effectiveness of the PLBL using the 6-d.o.f. nonlinear numerical model of a UUV at current flow, excluding bottom-fixed DVL. This paper also shows the error convergence of the vehicle's initial position by the additional range measurements without velocity information.  相似文献   

水下UUVs集群协同定位技术发展现状及趋势北大核心CSCD     

柴洪洲  杜祯强  向民志  黄紫如 《测绘通报》2022,(10):62-67

随着水下装备逐渐走向自主化、无人化、智能化,水下无人航行器(UUV)以集群的形式协同作业成为必然的发展方向。本文介绍了UUVs集群设备的发展现状及相关项目开展情况;系统梳理了UUVs集群协同定位技术在编队构型设计、观测量误差建模、模型与解算方法及水声通信技术方面取得的研究进展;重点讨论了UUVs集群协同定位技术的发展趋势,即协同编队构型设计的可视化、多源传感器误差建模的精细化、集群协同定位算法的智能化及定位结果质量控制的实时化;最后对UUVs集群协同定位技术的发展作出展望。  相似文献