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相关概念视频

Controller Configurations01:22

Controller Configurations

101
Controller configurations are crucial in a car's cruise control system because they manage speed over time to maintain a consistent pace regardless of road conditions, thereby meeting design goals. In traditional control systems, fixed-configuration design involves predetermined controller placement. System performance modifications are known as compensation.
Control-system compensation involves various configurations, most commonly series or cascade compensation, in which the controller...
101
Open and closed-loop control systems01:17

Open and closed-loop control systems

755
Control systems are foundational elements in automation and engineering. They are broadly categorized into open-loop and closed-loop systems. These classifications hinge on the presence or absence of feedback mechanisms, significantly influencing the system's performance, complexity, and application.
An open-loop control system operates without feedback from the output. It consists of two primary elements: the controller and the controlled process. The controller receives an input signal...
755
PD Controller: Design01:26

PD Controller: Design

239
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,...
239
Control Systems01:10

Control Systems

1.2K
Control systems are everywhere in contemporary society, influencing diverse applications from aerospace to automated manufacturing. These systems can be found naturally within biological processes, such as blood sugar regulation and heart rate adjustment in response to stress, as well as in man-made systems like elevators and automated vehicles. A control system is essentially a network of subsystems and processes that collaboratively convert specific inputs into desired outputs.
At the heart...
1.2K
PI Controller: Design01:24

PI Controller: Design

284
Proportional Integral (PI) controllers are a fundamental component in modern control systems, widely used to enhance performance and mitigate steady-state errors. They are particularly effective in applications such as automatic brightness adjustment on smartphones, where they excel at mitigating steady-state errors for step-function inputs. Unlike PD controllers, which require time-varying errors to function optimally, PI controllers leverage their integral component to address residual...
284
Feedback control systems01:26

Feedback control systems

315
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...
315

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相关实验视频

Updated: Jul 7, 2025

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
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集成控制器设计和应用CNC机床伺服系统基于模型参考自适应控制和自适应滑动模式控制.

Taihao Zhang1, Xuewei Li1, Hongdong Gai2

  • 1School of Mechanical Engineering, Shandong University of Technology, Zibo 255000, China.

Sensors (Basel, Switzerland)
|December 23, 2023
PubMed
概括

本研究介绍了一种使用模型参考自适应控制 (MRAC) 的自适应滑动模式控制 (ASMC) 方法,以提高计算机数控 (CNC) 机床的精度. 这种新方法显著减少了摩擦效应,并提高了运动控制性能.

关键词:
适应滑动模式控制的自适应式滑动模式控制对于数控机器的动态模型.参考模型适应控制的适应控制非线性摩擦的非线性摩擦

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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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Operation of the Collaborative Composite Manufacturing CCM System
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Operation of the Collaborative Composite Manufacturing CCM System

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科学领域:

  • 控制系统工程 控制系统工程
  • 机器人和自动化 机器人和自动化
  • 机械工程 机械工程

背景情况:

  • 计算机数控 (CNC) 机床面临着非线性摩擦和时间变化的因素影响运动控制精度的挑战.
  • 传统的滑动模式控制 (SMC) 可能对参数变化和干扰敏感.

研究的目的:

  • 开发和验证适应式滑动模式控制 (ASMC) 方法,与CNC机床的模型参考适应式控制 (MRAC) 集成.
  • 为了减轻非线性摩擦的影响,并提高整体运动控制精度.

主要方法:

  • 拟议的方法在外部控制环中使用ASMC,在内部环中使用MRAC.
  • 通过持续的SMC规律和自适应估计,可以实现最佳的控制参数.
  • MRAC增强了系统不变性,使SMC能够更有效地满足干扰匹配条件.

主要成果:

  • 与传统的SMC相比,基于MRAC的ASMC减少了71.2%的次误差.
  • 高频聊天减少了89.02%的最大值,提高了系统的稳定性.
  • 运动控制精度和系统稳定性显著改善.

结论:

  • 基于MRAC的ASMC有效地抑制了非线性摩擦,并提高了CNC机床的运动控制精度.
  • 与传统的SMC相比,这种先进的控制策略提供了卓越的性能和稳定性.
  • 该方法提供了一个强大的解决方案,用于提高自动化制造系统的精度.