.

Liyin Zhang1, Yuxin Su2, Zeng Wang3

  • 1School of Automation, Xi'an University of Posts and Telecommunications, Xi'an 710121, China; Xi'an Key Laboratory of Advanced Control and Intelligent Process, China.

ISA transactions
|November 3, 2023
PubMed
概括

这项研究引入了一个新的固定时间控制机器人操纵器,克服不确定性和干扰. 它实现了精确的轨迹跟踪,更快的融合和更好的稳定性,消除了常见的控制问题.

相关概念视频

Time-Domain Interpretation of PD Control01:07

Time-Domain Interpretation of PD Control

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.
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120
Controller Configurations01:22

Controller Configurations

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Control-system compensation involves various configurations, most commonly series or cascade compensation, in which the controller...
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Linear Approximation in Time Domain01:21

Linear Approximation in Time Domain

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,...
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Feedback control systems01:26

Feedback control systems

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Multimachine Stability01:25

Multimachine Stability

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.
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One-Degree-of-Freedom System01:24

One-Degree-of-Freedom System

In mechanical engineering, one-degree-of-freedom systems form the basis of a wide range of electrical and mechanical components. Using these models, engineers can predict the behavior of various parts in a larger system, which gives them insight into how different forces interact with each other.
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