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相关概念视频

Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

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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.
Here, in order to determine the magnitude of velocity and acceleration for point...
388
Principle of Linear Impulse and Momentum for a Single Particle: Problem Solving01:23

Principle of Linear Impulse and Momentum for a Single Particle: Problem Solving

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Consider a wooden box and a cylinder of known masses m1 and m2, respectively,  hanging from a ceiling with the help of a massless pulley system.
192
Three-Dimensional Force System:Problem Solving01:30

Three-Dimensional Force System:Problem Solving

625
A three-dimensional force system refers to a scenario in which three forces act simultaneously in three different directions. This type of problem is commonly encountered in physics and engineering, where it is necessary to calculate the resultant force on the system, which can then be used to predict or analyze the behavior of the object or structure under consideration.
To solve a three-dimensional force system, first resolve each force into its respective scalar components. Do this using...
625
Two-Dimensional Force System: Problem Solving01:29

Two-Dimensional Force System: Problem Solving

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Solving problems related to two-dimensional force systems is an essential aspect of mechanics and engineering. By applying the principles of vector analysis and force equilibrium, one can determine the effect of multiple forces acting on an object in a two-dimensional space.
The first step to solving a two-dimensional force system problem is to draw a free-body diagram of the object under consideration. This diagram helps identify all the external forces acting on the object, including their...
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Planar Rigid-Body Motion01:22

Planar Rigid-Body Motion

408
Understanding the movement of a rigid body in planar motion involves recognizing that every particle within this body is traversing a path that maintains a consistent distance from a specific plane. This concept is fundamental in the study of physics and mechanical engineering, and it allows us to comprehend better how objects move in space.
Planar motion is typically divided into three distinct categories. The first is rectilinear translation, demonstrated by a subway train that moves along...
408
Equation of Motion: General Plane motion - Problem Solving01:16

Equation of Motion: General Plane motion - Problem Solving

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Consider a lawn roller with a mass of 100 kg, a radius of 0.2 meters, and a radius of gyration of 0.15 meters. A force of 200 N is applied to this roller, angled at 60 degrees from the horizontal plane. What will be the angular acceleration of the lawn roller?
The friction between the roller and the ground is characterized by two coefficients. The static friction coefficient is 0.15, while the kinetic friction coefficient is 0.1. These values are crucial in understanding the interaction between...
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基于多目标粒子群优化算法的机器人新型多目标轨迹规划方法.

Jiahui Wang1, Yongbo Zhang1,2, Shihao Zhu1

  • 1School of Aeronautic Science and Engineering, Beihang University, Beijing 100191, China.

Sensors (Basel, Switzerland)
|December 17, 2024
PubMed
概括
此摘要是机器生成的。

本研究介绍了一种新的多目标轨迹规划方法,用于太空机器人,优化旅行时间,能量和流性. 该方法利用B-spline函数和改进的粒子群优化算法,以提高太空探索中的性能.

关键词:
在B-spline上使用.MOPSO MOPSO 的意思是熊猫560机器人 熊猫560机器人多目标的轨迹规划.

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相关实验视频

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科学领域:

  • 机器人技术 机器人技术 机器人技术
  • 太空探索 太空探索
  • 计算优化计算优化

背景情况:

  • 太空机器人的性能对于探索任务至关重要.
  • 关键性能指标包括行程时间,能源消耗和轨道平滑度.
  • 有效的轨迹规划对于最大限度地提高机器人功能至关重要.

研究的目的:

  • 为太空机器人提出一个多目标轨迹规划方法.
  • 为了优化关键的性能指数:旅行时间,能源消耗和流性.
  • 确保轨迹符合太空任务的实际工程要求.

主要方法:

  • 普马560机器人的动力学和动态分析.
  • 使用第五阶B-spline函数构建联合空间轨迹.
  • 通过改进的多目标粒子群优化 (MOPSO) 算法进行优化.

主要成果:

  • 实现了机器人关节的连续位置,速度,加速度和冲动.
  • 帕雷托阵线表现出良好的分布统一性,收性和多样性.
  • 成功优化了多个目标,以满足工程需求.

结论:

  • 提出的基于MOPSO的轨迹规划方法有效地平衡了多个绩效目标.
  • 该方法提供了优化的轨迹,适用于现实世界的太空探索应用.
  • 可视化证实了优化机器人运动的成功实施.