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Motion planning and control of robotic manipulators on seaborne platforms

机译:海上平台上机械手的运动计划和控制

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摘要

Robots on ships have to endure large inertial forces due to the non-inertial motion of the ship. The ship motion affects both the motion planning and control of the manipulator, and accurate predictions can improve performance substantially. It is thus important to investigate to what extent it is possible to predict the future motion of a ship. Based on these predictions, this paper presents a new approach to motion planning and control of such manipulators. It is shown that the effects of the non-inertial forces can be eliminated-in fact, the robot can even leverage the inertial forces to improve performance compared to robots on a fixed base. In particular it is shown that by including the inertial forces in the motion planning the wear and tear on the robot due to these forces can be reduced substantially. To perform realistic experiments a 9-DoF robot is used. The first five joints are used to generate the real ship motion, and the last four joints are used for motion planning. The dynamic coupling between the first five and the last four joints is thus exactly the same as the dynamic coupling between a ship and a manipulator, which allows for very realistic experiments.
机译:由于船的非惯性运动,船上的机器人必须承受较大的惯性力。船舶运动会影响机械手的运动计划和控制,准确的预测可以显着改善性能。因此,重要的是要研究在多大程度上可以预测船舶的未来运动。基于这些预测,本文提出了一种用于此类机械手的运动规划和控制的新方法。结果表明,可以消除非惯性力的影响-实际上,与固定基座上的机器人相比,机器人甚至可以利用惯性力来提高性能。特别地,示出了通过将惯性力包括在运动计划中,可以显着减少由于这些力而在机器人上的磨损。为了执行真实的实验,使用了9自由度机器人。前五个关节用于生成实际的船舶运动,后四个关节用于运动计划。因此,前五个关节与最后四个关节之间的动态耦合与船舶与机械手之间的动态耦合完全相同,从而可以进行非常实际的实验。

著录项

  • 来源
    《Control Engineering Practice》 |2011年第8期|p.809-819|共11页
  • 作者单位

    Department of Engineering Cybernetics, Norwegian University of Science and Technology, Trondheim, Norway;

    Department of Engineering Cybernetics, Norwegian University of Science and Technology, Trondheim, Norway;

    Department of Strategic R&D for Oil, Gas and Petrochemicals, Division of Process Automation, ABB, Oslo, Norway;

    Department of EECS, University of California, 253 Cory Hall, Berkeley, CA 94720-1770, USA;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    marine systems; robotics; stochastic systems; predictive control;

    机译:海洋系统;机器人系统;随机系统;预测控制;

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