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相关概念视频

Controller Configurations01:22

Controller Configurations

85
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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Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

386
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...
386
Absolute Motion Analysis- General Plane Motion01:24

Absolute Motion Analysis- General Plane Motion

210
Visualize a drone, with its propellers spinning rapidly, hovering mid-air. The fascinating movements and operations of this drone can be comprehended by applying the principle of general plane motion.
As the drone's propellers rotate, an upward force is generated that counteracts the force of gravity, enabling the drone to lift off from the ground. This initial movement of the drone is along a straight path, representing a form of translational motion. In this phase, every point on the...
210
Equation of Motion: General Plane motion - Problem Solving01:16

Equation of Motion: General Plane motion - Problem Solving

170
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...
170
One-Degree-of-Freedom System01:24

One-Degree-of-Freedom System

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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...
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PI Controller: Design01:24

PI Controller: Design

199
Proportional Integral (PI) controllers are a fundamental component in modern control systems, widely used to enhance performance and mitigate steady-state errors. They are particularly effective in applications such as automatic brightness adjustment on smartphones, where they excel at mitigating steady-state errors for step-function inputs. Unlike PD controllers, which require time-varying errors to function optimally, PI controllers leverage their integral component to address residual...
199

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相关实验视频

Updated: Jun 3, 2025

Operation of the Collaborative Composite Manufacturing CCM System
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对于具有五进制多项式的自动驾驶汽车,先进的轨迹规划和控制.

Ma Jin1,2, Mingcheng Qu1,2, Qingyang Gao3

  • 1Faculty of Computing, Harbin Institute of Technology, Harbin 150040, China.

Sensors (Basel, Switzerland)
|January 8, 2025
PubMed
概括
此摘要是机器生成的。

本研究提出了一种用于设计智能汽车轨迹和控制系统的五项多项式方法. 该方法确保了顺的路径,并通过实验验证证明了有效的车辆跟踪性能.

关键词:
自动驾驶汽车是一种自动驾驶汽车.一个模糊的PID.非线性动力学的非线性动态轨道设计的轨道设计.

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Last Updated: Jun 3, 2025

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科学领域:

  • 机器人技术和自主系统
  • 控制工程 控制工程 控制工程
  • 计算几何学的计算几何学

背景情况:

  • 智能汽车需要精确的轨道规划和控制,以确保安全高效的运行.
  • 确保顺的轨迹连续性和准确的状态跟踪对于自主导航至关重要.
  • 现有的方法在处理动态环境和复杂的机动方面可能面临挑战.

研究的目的:

  • 为智能汽车设计和实施一个强大的轨迹生成和控制系统.
  • 为了确保车辆状态曲线 (位置,速度,加速度) 在轨道执行期间的顺连续性.
  • 通过在物理平台上的实验测试来验证拟议的控制框架.

主要方法:

  • 利用五项多项式来生成平滑和连续的车辆轨迹.
  • 开发了基于两度自由度动态模型的横向和纵向控制器.
  • 在控制器设计和错误建模中使用Frenet坐标系转换.
  • 使用具有阿克曼方向盘的小型智能车辆进行实验验证.

主要成果:

  • 第五个多项式的方法成功地产生了光滑和连续的轨迹.
  • 开发的控制器有效地调节了车辆跟踪性能.
  • 实验结果证实了控制器在各种操作条件下的有效性.
  • 该研究表明了综合轨迹和控制框架的可行性.

结论:

  • 提出的基于五项多项式的轨迹规划和控制系统对智能汽车是有效的.
  • 该方法确保了顺的状态转换和准确的路径跟踪.
  • 实验验证证证实了该方法的实际适用性和稳定性.