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相关概念视频

Controller Configurations01:22

Controller Configurations

119
Controller configurations are crucial in a car's cruise control system because they manage speed over time to maintain a consistent pace regardless of road conditions, thereby meeting design goals. In traditional control systems, fixed-configuration design involves predetermined controller placement. System performance modifications are known as compensation.
Control-system compensation involves various configurations, most commonly series or cascade compensation, in which the controller...
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Three-Dimensional Force System:Problem Solving01:30

Three-Dimensional Force System:Problem Solving

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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...
693
One-Degree-of-Freedom System01:24

One-Degree-of-Freedom System

517
In mechanical engineering, one-degree-of-freedom systems form the basis of a wide range of electrical and mechanical components. Using these models, engineers can predict the behavior of various parts in a larger system, which gives them insight into how different forces interact with each other.
A one-degree-of-freedom system is defined by an independent variable that determines its state and behavior. One example of a one-degree-of-freedom system is a simple harmonic oscillator, such as a...
517
Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

421
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...
421
Two-Dimensional Force System: Problem Solving01:29

Two-Dimensional Force System: Problem Solving

615
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...
615
Kinematic Equations: Problem Solving01:15

Kinematic Equations: Problem Solving

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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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相关实验视频

Updated: Jul 20, 2025

A Structured Rehabilitation Protocol for Improved Multifunctional Prosthetic Control: A Case Study
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数据驱动型无模型自适应控制的实用问题,用于全方位移动操纵器.

Chao Ren1, Jingyi Zhang1, Liang Hu2

  • 1School of Electrical and Information Engineering, Tianjin University, Tianjin, 300072, China.

ISA transactions
|August 4, 2023
PubMed
概括

这项研究增强了移动机器人的无模型自适应控制 (MFAC),引入了平台旋转,初始值估计和轨迹趋同的解决方案. 在一个全向移动操纵器上的实验验证表明控制性能得到了改进.

关键词:
数据驱动的数据驱动.无模型的自适应控制一个无向的移动机器人.轨迹跟踪控制器可以控制轨迹的跟踪.

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科学领域:

  • 机器人技术 机器人技术 机器人技术
  • 控制系统工程 控制系统工程
  • 人工智能的人工智能

背景情况:

  • 无模型自适应控制 (MFAC) 是机器人系统的数据驱动方法.
  • 现有的MFAC计划面临着移动机器人的挑战,特别是涉及平台旋转的全方位移动操纵器 (OMM).
  • 假设恒定的伪部分导数 (PPD) 符号和不清楚的初始值设置阻碍了MFAC的应用.

研究的目的:

  • 解决MFAC在应用在可旋转的移动机器人中的实际局限性.
  • 为PPD标志常数,初始值估计和MFAC中的轨迹趋同提出新的解决方案.
  • 在原型OMM上实验验验证一个增强的MFAC方案.

主要方法:

  • 引入了一个新的坐标框架来处理MFAC中的平台旋转.
  • 开发了一种初始值设定方法,用于PPD估计与物理解释.
  • 提出了一个数据驱动的MFAC控制器,集成了滑动模式控制,以改善融合.

主要成果:

  • 成功地将MFAC应用于使用新型坐标框架旋转的移动机器人.
  • 拟议的初始价值设定方法提高了控制系统的稳定性.
  • 集成的MFAC和滑动模式控制证明了在OMM上有效的轨迹趋同.

结论:

  • 开发的MFAC方案有效地解决了移动机器人控制中的关键实际问题.
  • 本文介绍了首个经过实验验证的MFAC方案,用于旋转移动机器人原型.
  • 这些发现为机器人技术中更强大,更适应的数据驱动控制铺平了道路.