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Formation control of multiple autonomous underwater vehicles using forward looking sonar

机译:使用前视声纳的多种自动水下机器人的编队控制

摘要

With the Global War on Terrorism (GWOT) taking place in full force, autonomous vehicles have become a major asset to government forces. Expansion of single vehicle technology to multiple vehicle technology is required in order for the United States to stay ahead of its adversaries in the GWOT and other technological fields (such as oceanography). Multiple vehicle technology has been explored by many different institutions in the recent past (Leonard, 2001 and Kucik, 2003). Expansion of this technology will lead to greater autonomy and robustness amongst the vehicles. This thesis presents a simulation of a "follow the leader" behavior for multiple Autonomous Underwater Vehicles (AUVs). The follower vehicle incorporates the use of forward-looking sonar to track the leader vehicle. This process will free up bandwidth between acoustic modems; allowing data transfer to occur with greater efficiency. Hydrodynamic coefficients are used to develop steering equations that model REMUS through a track of specified waypoints similar to a real-world mission track. A two-dimensional forward looking sonar model with a 120 [degree] horizontal scan and a 110 meter radial range is modeled to track the leader vehicle. Resulting bearing and range between the two vehicles is incorporated as control for positioning the follower vehicle.
机译:随着全球反恐战争(GWOT)全面展开,自动驾驶汽车已成为政府部队的主要资产。为了使美国在GWOT和其他技术领域(例如海洋学)中领先于对手,需要将单车技术扩展到多车技术。最近,许多不同的机构都在探索多种车辆技术(Leonard,2001; Kucik,2003)。这项技术的扩展将导致车辆具有更大的自主性和鲁棒性。本文提出了多种自主水下航行器(AUV)的“跟随领导者”行为的模拟。跟随者车辆结合了前瞻性声纳的使用来追踪领导者车辆。此过程将释放声学调制解调器之间的带宽。允许更高效率地进行数据传输。流体动力系数用于开发转向方程,该方程通过类似于现实世界任务轨迹的指定航路点轨迹来对REMUS进行建模。对具有120度水平扫描和110米径向范围的二维前向声纳模型进行建模,以跟踪指挥车。两辆车之间产生的方位角和范围被合并为用于控制从动车的控制。

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    Grabelle Jason;

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  • 年度 2005
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