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相关概念视频

Multimachine Stability01:25

Multimachine Stability

235
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:
235
State Space Representation01:27

State Space Representation

301
The frequency-domain technique, commonly used in analyzing and designing feedback control systems, is effective for linear, time-invariant systems. However, it falls short when dealing with nonlinear, time-varying, and multiple-input multiple-output systems. The time-domain or state-space approach addresses these limitations by utilizing state variables to construct simultaneous, first-order differential equations, known as state equations, for an nth-order system.
Consider an RLC circuit, a...
301
State Space to Transfer Function01:21

State Space to Transfer Function

314
The conversion of state-space representation to a transfer function is a fundamental process in system analysis. It provides a method for transitioning from a time-domain description to a frequency-domain representation, which is crucial for simplifying the analysis and design of control systems.
The transformation process begins with the state-space representation, characterized by the state equation and the output equation. These equations are typically represented as:
314
Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

745
Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
745
Transfer Function to State Space01:23

Transfer Function to State Space

420
State-space representation is a powerful tool for simulating physical systems on digital computers, necessitating the conversion of the transfer function into state-space form. Consider an nth-order linear differential equation with constant coefficients, like those encountered in an RLC circuit. The state variables are selected as the output and its n−1 derivatives. Differentiating these variables and substituting them back into the original equation produces the state equations.
In an...
420
Stability of Equilibrium Configuration: Problem Solving01:13

Stability of Equilibrium Configuration: Problem Solving

678
The stability of equilibrium configurations is an important concept in physics, engineering, and other related fields. In simple terms, it refers to the tendency of an object or system to return to its equilibrium position after being disturbed. The stability of an equilibrium configuration can be analyzed by considering the potential energy function of the system and examining its behavior near the equilibrium point.
Problem-solving in the context of the stability of equilibrium configuration...
678

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相关实验视频

Updated: Sep 19, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

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Published on: September 8, 2023

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根据平均状态估计,对Port-Hamiltonian多代理系统的分布式形成控制.

Jingyi Zhao1, Yongxin Wu2, Yuqian Guo3

  • 1The Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education and the School of Control Science and Engineering, Dalian University of Technology, Dalian, 116024, China.

ISA transactions
|June 7, 2025
PubMed
概括
此摘要是机器生成的。

本研究介绍了两种新的分布式控制器,用于使用端口-哈密尔顿 (PH) 动态实现形成控制的多代理机械系统. 控制器通过仅共享平均状态估计来确保隐私,从而实现强大而高效的系统融合.

关键词:
分布式控制器 分布式控制器形成控制控制 形成控制哈密尔顿港的系统国家保护国家保护.

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相关实验视频

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科学领域:

  • 机器人和控制系统 机器人和控制系统
  • 网络化系统 网络化系统
  • 应用数学 应用数学 应用数学

背景情况:

  • 多代理系统的形成控制是一个不断增长的研究领域,由信息技术的进步推动.
  • 哈密尔顿港 (PH) 动力学为分析复杂的机械系统提供了一个结构化的框架.

研究的目的:

  • 开发分布式控制器,用于形成控制具有PH动态的多代理机械系统.
  • 通过限制代理人之间的信息交换来确保隐私.
  • 分析闭环系统的收性质和稳定性.

主要方法:

  • 形成问题被重新定义为优化问题.
  • 提出了两个分布式控制器:一个用于基于位置的形成,另一个用于表征收率.
  • 利亚普诺夫函数用于证明非对称和指数稳定性.
  • 控制器使用邻居平均状态估计来保护隐私.

主要成果:

  • 第一个控制器保留了PH结构,简化了基于位置的阵列的稳定性分析.
  • 第二个控制器保证了指数稳定性,并提供了最小的趋同率.
  • 控制器在一个非全方位的轮式机器人系统上得到了验证.

结论:

  • 提出的分布式控制器有效地实现了PH多代理系统的形成控制.
  • 控制器增强了系统的隐私,并提供可证明的稳定性和趋同保证.
  • 这些方法适用于现实世界的机器人系统,例如非全方位的轮式机器人.