Modelling the Motion of a 2-Arm ROV

M. Saure, Sondre H. Iversen, Andreas B. Snekkevik, R. Gebhardt, Zhiyang Chen, Christopher Mignano, D. M. Luchtenburg, T. Impelluso
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Abstract

Norway conducts operations on a variety of structures in the North Sea; e.g. oilrigs, monopole windmills, subsea trees. These structures often require subsea installation, observation, and maintenance. A remotely operated vehicle (ROV) can assist in these operations. Automation of intended motion is the desired goal. This paper researches the motion of an ROV induced by the motion of the robotic manipulators, motor torques, and added mass of fluid. This project builds upon a previous project that had one robotic arm; this time, there are two, but the method is unchanged. Furthermore, this work explores both the patterns in addressing such challenges, and an improved integration scheme. This research uses the Moving Frame Method (MFM) to carry out this project. In fact, this paper demonstrates the ease with which the MFM is extensible. Notable is that this work represents an international collaboration between an engineering school in Norway and one in the US. This work invites further research into improved numerical methods, solid/fluid interaction and the design of Autonomous Underwater Vehicles (AUV). AUVs beckon an era of Artificial Intelligence when machines think, communicate and learn. Rapidly deployable software implementations will be essential to this task.
双臂ROV的运动建模
挪威在北海的各种结构上进行作业;例如,石油钻井平台、单极风车、海底采油树。这些结构通常需要在水下安装、观察和维护。远程操作车辆(ROV)可以协助这些操作。预期运动的自动化是期望的目标。本文研究了机器人机械手运动、电机转矩和流体附加质量对ROV运动的影响。这个项目建立在之前的一个项目的基础上,这个项目只有一个机械臂;这一次,有两个,但方法不变。此外,本工作还探讨了应对这些挑战的模式和改进的集成方案。本研究采用移动框架法(MFM)来开展本课题。实际上,本文演示了MFM易于扩展。值得注意的是,这项工作代表了挪威一所工程学院与美国一所工程学院之间的国际合作。这项工作需要进一步研究改进的数值方法,固/流体相互作用和自主水下航行器(AUV)的设计。当机器思考、交流和学习时,auv预示着人工智能时代的到来。快速部署的软件实现对于这项任务至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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