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相关概念视频

Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

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Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence...
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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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Time-Domain Interpretation of PD Control01:07

Time-Domain Interpretation of PD Control

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Proportional-Derivative (PD) control is a widely used control method in various engineering systems to enhance stability and performance. In a system with only proportional control, common issues include high maximum overshoot and oscillation, observed in both the error signal and its rate of change. This behavior can be divided into three distinct phases: initial overshoot, subsequent undershoot, and gradual stabilization.
Consider the example of control of motor torque. Initially, a positive...
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Feedback control systems01:26

Feedback control systems

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Feedback control systems are categorized in various ways based on their design, analysis, and signal types.
Linear feedback systems are theoretical models that simplify analysis and design. These systems operate under the principle that their output is directly proportional to their input within certain ranges. For instance, an amplifier in a control system behaves linearly as long as the input signal remains within a specific range. However, most physical systems exhibit inherent nonlinearity...
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Linear time-invariant Systems01:23

Linear time-invariant Systems

226
A system is linear if it displays the characteristics of homogeneity and additivity, together termed the superposition property. This principle is fundamental in all linear systems. Linear time-invariant (LTI) systems include systems with linear elements and constant parameters.
The input-output behavior of an LTI system can be fully defined by its response to an impulsive excitation at its input. Once this impulse response is known, the system's reaction to any other input can be...
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Uniform Depth Channel Flow: Problem Solving01:18

Uniform Depth Channel Flow: Problem Solving

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To calculate the flow rate for a trapezoidal channel, first, identify the bottom width, side slope, and flow depth of the channel. The cross-sectional area (A) corresponding to the depth of flow (y), channel bottom width (B), and side slope (θ) is determined by:Next, calculate the wetted perimeter, which includes the bottom width and the sloped side lengths in contact with the water. Using the values of the cross-sectional area and the wetted perimeter, determine the hydraulic radius by...
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相关实验视频

Updated: Jun 13, 2025

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分布式定时形成跟踪控制,用于多个低估的USV,具有一次性不确定性和输入和度.

Junpeng Li1, Yunsheng Fan1, Jiaxian Liu1

  • 1College of Marine Electrical Engineering, Dalian Maritime University, Dalian 116026, China; Key Laboratory of Technology and System for Intelligent Ships of Liaoning Province, Dalian 116026, China.

ISA transactions
|September 13, 2024
PubMed
概括

本研究提出了一个固定时间分布式形成控制策略,用于未测量速度和输入和度的无人驾驶表面车辆 (USV),以确保稳定的形成控制.

关键词:
固定时间ESO.固定时间理论.形成控制控制 形成控制输入和度输入的和度低估的美国价值.

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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
  • 海洋工程 海洋工程

背景情况:

  • 由于未测量的速度和输入和,未精确的无人驾驶表面车辆 (USV) 在形成控制方面存在挑战.
  • 现有的控制策略在这些约束条件下往往难以实现精确和稳定的形成.

研究的目的:

  • 为多个低估的USVs开发一个固定时间分布式形成控制策略.
  • 解决USV形成控制中未测量的速度和输入和的问题.

主要方法:

  • 应用了坐标转换来处理低值.
  • 构建了一个固定时间延长状态观察器 (FESO) 来估计未测量的状态和干扰.
  • 对于虚拟控制规律,使用了固定时间差分器.
  • 设计了一个固定时间分布式形成控制器,配有辅助系统来减轻输入和效应.

主要成果:

  • 通过使用FESO.成功估计了未测量的速度和一次性干扰.
  • 使用领导者-追随者方法实现了预设的形成.
  • 通过辅助系统消除了输入和的影响.
  • 通过利亚普诺夫理论证明了闭环系统的固定时间稳定性.

结论:

  • 拟议的固定时间分布式形成控制策略对低估的USVs有效.
  • 该方法克服了未测量的速度和输入和度的限制.
  • 模拟结果证实了开发的控制方案的优越性.