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Controller Configurations01:22

Controller Configurations

89
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...
89
PD Controller: Design01:26

PD Controller: Design

202
In automotive engineering, car suspension systems often employ Proportional Derivative (PD) controllers to enhance performance. PD controllers are utilized to adjust the damping force in response to road conditions. A controller, acting as an amplifier with a constant gain, demonstrates proportional control, with output directly mirroring input.
Designing a continuous-data controller requires selecting and linking components like adders and integrators, which are fundamental in Proportional,...
202
Open and closed-loop control systems01:17

Open and closed-loop control systems

685
Control systems are foundational elements in automation and engineering. They are broadly categorized into open-loop and closed-loop systems. These classifications hinge on the presence or absence of feedback mechanisms, significantly influencing the system's performance, complexity, and application.
An open-loop control system operates without feedback from the output. It consists of two primary elements: the controller and the controlled process. The controller receives an input signal...
685
PID Controller01:19

PID Controller

111
Proportional-Integral-Derivative (PID) controllers are widely used in various control systems to enhance stability and performance. In a thermostat, it adjusts heating or cooling based on the temperature difference between the actual and desired levels. They are often used in automotive speed systems, effectively managing sudden speed changes while maintaining a constant speed under varying conditions. On the other hand, PI controllers, commonly employed in voltage regulation, enhance stability...
111
Hierarchy of Motor Control01:18

Hierarchy of Motor Control

2.5K
The hierarchy of motor control refers to the different levels of organization and processing involved in controlling movement in the body. These levels range from higher cortical areas involved in planning and decision-making to lower spinal cord reflexes that respond automatically to external stimuli.
2.5K
Root-Locus Method01:19

Root-Locus Method

140
A cruise control system in a car is designed to maintain a specified speed automatically by adjusting the gas pedal. The system continuously measures the vehicle's speed and makes fine adjustments to the pedal to achieve this goal. The root locus method is particularly useful for understanding how the cruise control system's behavior changes under varying conditions, such as when the car goes uphill, downhill, or faces strong wind resistance.
This system can be represented by a block...
140

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相关实验视频

Updated: Jun 14, 2025

Operation of the Collaborative Composite Manufacturing CCM System
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基于模型预测控制的自动驾驶汽车的避免碰撞路径规划和跟踪控制.

Ding Dong1, Hongtao Ye1,2, Wenguang Luo1,2

  • 1School of Automation, Guangxi University of Science and Technology, Liuzhou 545036, China.

Sensors (Basel, Switzerland)
|August 29, 2024
PubMed
概括
此摘要是机器生成的。

自动驾驶汽车现在可以使用新型模型预测控制 (MPC) 方法积极避免障碍. 这种先进的系统结合了制动和转向,可以安全避免碰撞,即使在高速时也是如此.

关键词:
积极避免碰撞的积极避免碰撞.适应式巡航控制器 适应式巡航控制器交替方向乘数方法 交替方向乘数方法模型预测控制模型预测控制路径规划路径规划路径规划轨迹跟踪 轨迹跟踪 轨迹跟踪

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相关实验视频

Last Updated: Jun 14, 2025

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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 控制系统
  • 汽车工程 汽车工程

背景情况:

  • 自动驾驶汽车需要除了紧急制动之外的先进系统来避开障碍物.
  • 高速场景为减轻碰撞带来了独特的挑战.

研究的目的:

  • 为自动驾驶汽车使用模型预测控制 (MPC) 提出一种主动避免碰撞的方法.
  • 整合轨迹跟踪,自适应巡航控制 (ACC) 和主动转向以实现全面的安全.

主要方法:

  • 设计了一个基于MPC的轨迹跟踪控制器,使用车辆动态模型.
  • 开发了MPC-ACC联合控制,以制动为基础,避免碰撞.
  • 创建了基于安全距离模型的积极方向盘,以避免碰撞.
  • 实现了一个非线性模型预测控制 (NMPC) 路径规划控制器.
  • 利用交替方向乘法 (ADMM) 来优化解决方案过程.

主要成果:

  • 拟议的方法通过协调制动和转向有效地实现避免碰撞.
  • 在高速转向机动中表现出稳定性和强度,以避开障碍物.
  • 在Simulink和CarSim共模拟平台上与静态和动态障碍物进行了验证.

结论:

  • 开发的算法成功使自动驾驶汽车能够积极避开障碍物.
  • 该系统确保车辆在避开障碍物后返回预定的路径,证实了算法的有效性.