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相关概念视频

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

308
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...
308
Multimachine Stability01:25

Multimachine Stability

151
Multimachine stability analysis is crucial for understanding the dynamics and stability of power systems with multiple synchronous machines. The objective is to solve the swing equations for a network of M machines connected to an N-bus power system.
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:
151
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

53
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
53
Pole and System Stability01:24

Pole and System Stability

291
The transfer function is a fundamental concept representing the ratio of two polynomials. The numerator and denominator encapsulate the system's dynamics. The zeros and poles of this transfer function are critical in determining the system's behavior and stability.
Simple poles are unique roots of the denominator polynomial. Each simple pole corresponds to a distinct solution to the system's characteristic equation, typically resulting in exponential decay terms in the system's...
291
Control System Problem01:21

Control System Problem

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In an open-loop system, such as a basic thermostat, the poles of the transfer function influence the system's response but do not determine its stability. However, when feedback is introduced to form a closed-loop system, such as an advanced thermostat that adjusts heating based on room temperature, stability is governed by the new poles of the closed-loop transfer function.
When forming a closed-loop system, issues can arise if the poles cross into the unstable region, leading to potential...
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Updated: Jun 30, 2025

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator
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大规模线性参数变化系统的分散稳定.

Maryam Dehghani1

  • 1School of Electrical and Computer Engineering, Shiraz University, Shiraz, Iran.

ISA transactions
|March 19, 2024
PubMed
概括

本研究介绍了使用线性参数变化 (LPV) 模型的大型系统 (LSS) 的新去中心化控制器设计. 该方法确保了系统稳定性和性能改进,具有有限的信息交换,在电力系统上得到验证.

科学领域:

  • 控制系统工程 控制系统工程
  • 非线性系统分析 非线性系统分析
  • 大规模的系统稳定.

背景情况:

  • 由于实施挑战,集中式控制器对于大规模系统 (LSS) 来说是不切实际的.
  • 分散控制器设计必须确保LSS的整体稳定性,并限制信息交换.
  • 线性参数变化 (LPV) 模型代表了复杂的非线性LSS.

研究的目的:

  • 以LPV为模型,为非线性LSS设计一个去中心化的控制器.
  • 确保LSS的整体稳定性,同时只允许本地信息交换.
  • 在干扰下改善LSS的H∞和H2性能.

主要方法:

  • 控制器设计是作为一个凸的可行性问题,可以通过线性矩阵不等式 (LMIs) 解决.
  • 一个LSS的Lyapunov函数是个别子系统Lyapunov函数的总和.
  • 稳定性条件是根据利亚普诺夫函数的和推导的.

主要成果:

  • 设计了一个完全分散的控制器,禁止控制器之间的通信.
  • 仅允许在控制器及其子系统之间进行数据传输.
  • 该方法已成功应用于大型电力系统,证明了控制器的有效性.
关键词:
去中心化控制控制去中心化控制大规模系统 (LSS)线性矩阵不等式 (LMI) 是指线性矩阵不等式.线性参数变化 (LPV) 系统

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结论:

  • 提出的基于LMI的方法有效地为LPV系统设计了分散的控制器.
  • 该方法保证了稳定性,并在大型系统中提高了性能 (H∞,H2).
  • 对电力系统的模拟结果证实了设计的局部控制器的实际适用性和适当性.