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相关概念视频

Time-Domain Interpretation of PD Control01:07

Time-Domain Interpretation of PD Control

97
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...
97
Linear Approximation in Time Domain01:21

Linear Approximation in Time Domain

81
Nonlinear systems often require sophisticated approaches for accurate modeling and analysis, with state-space representation being particularly effective. This method is especially useful for systems where variables and parameters vary with time or operating conditions, such as in a simple pendulum or a translational mechanical system with nonlinear springs.
For a simple pendulum with a mass evenly distributed along its length and the center of mass located at half the pendulum's length,...
81
Feedback control systems01:26

Feedback control systems

307
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...
307
Second Order systems II01:18

Second Order systems II

107
In an underdamped second-order system, where the damping ratio ζ is between 0 and 1, a unit-step input results in a transfer function that, when transformed using the inverse Laplace method, reveals the output response. The output exhibits a damped sinusoidal oscillation, and the difference between the input and output is termed the error signal. This error signal also demonstrates damped oscillatory behavior. Eventually, as the system reaches a steady state, the error diminishes to zero.
107
PD Controller: Design01:26

PD Controller: Design

222
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,...
222
Time and frequency -Domain Interpretation of PI Control01:27

Time and frequency -Domain Interpretation of PI Control

120
Proportional-Integral (PI) controllers are essential in many control systems to improve stability and performance. They are commonly used in everyday devices like thermostats to enhance system damping and reduce steady-state error. When the zero in the controller's transfer function is optimally placed, the system benefits significantly in terms of stability and accuracy.
Acting as a low-pass filter, the PI controller slows the system's response and extends settling times. This requires...
120

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相关实验视频

Updated: Jun 27, 2025

WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control
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对于具有动态定量化和执行器故障的非线性异常扰动系统的分散控制.

Xue Jin1, Xiao-Heng Chang1

  • 1School of Information Science and Engineering, Wuhan University of Science and Technology, Wuhan, 430081, People's Republic of China.

ISA transactions
|April 28, 2024
PubMed
概括

本研究涉及非线性异常扰乱系统 (SPSs) 的散散控制,这些系统面临动态定量化和执行器故障. 该研究开发了一个独立的控制器,尽管有网络限制,但确保了系统的稳定性和性能.

科学领域:

  • 控制理论 控制理论
  • 系统工程 系统工程
  • 模糊系统 (Fuzzy Systems) 是一个模糊系统.

背景情况:

  • 非线性异常扰动系统 (SPSs) 存在重大控制挑战.
  • 动态量化和执行器故障使控制系统设计复杂化,原因是网络带宽限制和潜在的组件故障.
  • 塔卡吉-苏杰诺 (T-S) 模糊模型对于表示非线性系统是有效的.

研究的目的:

  • 调查非线性SPS与动态定量化和执行器故障的消散控制问题.
  • 设计一个独立于 ε 的状态反控制器,以保证异交稳定性和散射性能.
  • 开发一种方法来确定最大稳定性限制 (ε).

主要方法:

  • 使用Takagi-Sugeno (T-S) 模糊模型来表示非线性植物.
  • 在控制器设计中使用线性矩阵不等式 (LMI).
  • 将动态量化纳入控制框架中,并考虑执行器故障.
  • 开发一个搜索算法,以找到最大稳定性边界 (ε).

主要成果:

  • 对于一个独立于ε的状态反控制器,我们得出了足够的设计条件.
  • 拟议的控制器确保闭环系统在异构上保持稳定.
关键词:
执行器故障是指执行器发生故障.消散控制是一种消散控制.动态量化定量化的动态量化奇异扰乱系统是一个奇异扰乱系统.TS模糊模型的模糊模型

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  • 控制器保证系统达到预定义的散射性能.
  • 提出了一个搜索算法,以找到最大稳定性边界 (ε).

    • 结论:

    • 开发的方法有效地解决了非线性SPS与动态定量化和执行器故障的消散控制问题.
    • 拟议的控制器设计是可行的和有效的,正如两个例子所示.
    • 该方法为在网络约束和潜在组件故障下运行的系统提供了强大的解决方案.