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相关概念视频

Relative Motion Analysis using Rotating Axes-Problem Solving01:29

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Consider a crane whose telescopic boom rotates with an angular velocity of 0.04 rad/s and angular acceleration of 0.02 rad/s2. Along with the rotation, the boom also extends linearly with a uniform speed of 5 m/s. The extension of the boom is measured at point D, which is measured with respect to the fixed point C on the other end of the boom. For the given instant, the distance between points C and D is 60 meters.
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When analyzing one-dimensional motion with constant acceleration, the problem-solving strategy involves identifying the known quantities and choosing the appropriate kinematic equations to solve for the unknowns. Either one or two kinematic equations are needed to solve for the unknowns, depending on the known and unknown quantities. Generally, the number of equations required is the same as the number of unknown quantities in the given example. Two-body pursuit problems always require two...
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In mechanics, when one observes a rigid body in rotational motion with constant angular acceleration, it is possible to establish equations for its rotational kinematics. This process resembles how linear kinematics are dealt with in simpler motion studies.
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    这项研究引入了一种新的方法,用于估计复杂系统中的关节参数,例如手,使用工作空间多重映射. 具有动力约束的生成拓绘图算法 (GTM-KC) 提供了准确而强大的动力参数估计.

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    科学领域:

    • 机器人技术
    • 生物力学
    • 动力学

    背景情况:

    • 当直接测量不可行时,估计多关节系统的动力参数是具有挑战性的.
    • 现有的方法往往难以准确,精确和坚固, 尤其是复杂的关节配置.

    研究的目的:

    • 提出和验证一种基于数据的新方法来估计多关节系统的动力学参数.
    • 解决当前方法在直接测量不可行的场景中的局限性.

    主要方法:

    • 开发了一种基于3D运动指数表达的"工作空间多重映射"方法.
    • 介绍了"带动力约束的生成地形绘图算法" (GTM-KC).
    • 使用模拟和运动捕获数据对2度自由度 (DOF) 机械连接进行验证的GTM-KC,并与基准算法进行比较.

    主要成果:

    • 在估计2-DOF关节轴方向时,GTM-KC方法表现出高精度,与地面真相平均偏差为2.5°和2.4°.
    • 低标准偏差 (3.4°和2.7°) 表示精确的估计.
    • 这种算法在初始条件下表现出强性,

    结论:

    • 在3D动力学中,GTM-KC方法有效地估计了关节轴的方向.
    • 与现有方法相比,它在准确性,精度和融合方面提供了更高或同等的性能.
    • 工作空间多重映射为1和2DOF动态关系提供了可概括的方法.