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相关概念视频

Multimachine Stability01:25

Multimachine Stability

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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:
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Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

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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...
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Machines: Problem Solving II01:30

Machines: Problem Solving II

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Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. Consider a lifting tong carrying a 100 kg load. It comprises movable sections DAF and CBG linked together with member AB.
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通过在线适应布尔网络机器人的故障恢复.

Paolo Baldini1, Michele Braccini1, Andrea Roli1,2

  • 1Department of Computer Science and Engineering (DISI), Alma Mater Studiorum-Università di Bologna, Campus of Cesena, 47521 Cesena, Italy.

Sensors (Basel, Switzerland)
|September 27, 2025
PubMed
概括

机器人现在可以通过在线适应自动恢复损坏. 这种方法实时修改机器人控制策略,使故障恢复比从头开始更快.

科学领域:

  • 机器人技术 机器人技术 机器人技术
  • 控制工程 控制工程 控制工程
  • 人工智能的人工智能

背景情况:

  • 故障恢复对于机器人的可靠性和运营连续性至关重要.
  • 目前用于机器人故障恢复的方法通常涉及复杂的手动调整.
  • 机器人技术中对自动化,实时适应策略的需求正在增加.

研究的目的:

  • 调查在线适应自动机器人故障恢复的有效性.
  • 开发一种方法,在运行时修改机器人控制策略,以克服故障.
  • 确定机器人系统在线成功适应的技术要求.

主要方法:

  • 使用性能函数来识别无效的机器人行为.
  • 实施在线适应作为控制策略运行时修改机制.
  • 比较现有控制器的调整与从头开始寻找新的控制器.

主要成果:

  • 在线适应证明适合在机器人损坏后自动恢复功能.
  • 调整现有的控制器以克服故障比设计一个新的要快得多.
  • 该研究概述了成功实施在线适应的技术先决条件.

结论:

关键词:
布尔网络 是一个布尔网络.恢复故障的故障恢复错误宽容 错误宽容 错误宽容在线适应在线适应机器人技术 机器人工程 机器人工程

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  • 在线适应为机器人故障耐受性提供了高效和自动化的解决方案.
  • 控制策略的运行时间修改提高了机器人的弹性,减少了停机时间.
  • 与传统方法相比,这种方法可以加快恢复过程.