Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

PID Controller01:19

PID Controller

234
Proportional-Integral-Derivative (PID) controllers are widely used in various control systems to enhance stability and performance. In a thermostat, it adjusts heating or cooling based on the temperature difference between the actual and desired levels. They are often used in automotive speed systems, effectively managing sudden speed changes while maintaining a constant speed under varying conditions. On the other hand, PI controllers, commonly employed in voltage regulation, enhance stability...
234
Time-Domain Interpretation of PD Control01:07

Time-Domain Interpretation of PD Control

178
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.
Consider the example of control of motor torque. Initially, a positive...
178
PI Controller: Design01:24

PI Controller: Design

484
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...
484
Time and frequency -Domain Interpretation of PI Control01:27

Time and frequency -Domain Interpretation of PI Control

204
Proportional-Integral (PI) controllers are essential in many control systems to improve stability and performance. They are commonly used in everyday devices like thermostats to enhance system damping and reduce steady-state error. When the zero in the controller's transfer function is optimally placed, the system benefits significantly in terms of stability and accuracy.
Acting as a low-pass filter, the PI controller slows the system's response and extends settling times. This requires...
204
PD Controller: Design01:26

PD Controller: Design

349
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,...
349

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Hippopotamus optimization-tuned sigmoid PID controller for load frequency control of a two-area thermal power system with renewable energy sources.

Scientific reports·2026
查看所有相关文章

相关实验视频

Updated: Sep 9, 2025

Controlling Parkinson's Disease With Adaptive Deep Brain Stimulation
11:12

Controlling Parkinson's Disease With Adaptive Deep Brain Stimulation

Published on: July 16, 2014

22.6K

基于艺术素优化算法的功能电刺激的预测增强PID-F控制策略

Özay Can1, Erdinç Şahin2,3

  • 1Department of Electronics and Automation, Recep Tayyip Erdoğan University, Rize, Turkey. ozay.can@erdogan.edu.tr.

Scientific reports
|August 30, 2025
PubMed
概括

一个新的预测比例整体导 (PPID-F) 控制器,由素优化器 (AO) 优化,显著提高功能电刺激 (FES) 系统的性能,以提高移动性和舒适性.

关键词:
艺术素优化器功能电刺激系统神经系统疾病PID-F控制器的人预测性术语

更多相关视频

A Structured Rehabilitation Protocol for Improved Multifunctional Prosthetic Control: A Case Study
06:58

A Structured Rehabilitation Protocol for Improved Multifunctional Prosthetic Control: A Case Study

Published on: November 6, 2015

9.6K
Targeting Neuronal Fiber Tracts for Deep Brain Stimulation Therapy Using Interactive, Patient-Specific Models
14:14

Targeting Neuronal Fiber Tracts for Deep Brain Stimulation Therapy Using Interactive, Patient-Specific Models

Published on: August 12, 2018

9.0K

相关实验视频

Last Updated: Sep 9, 2025

Controlling Parkinson's Disease With Adaptive Deep Brain Stimulation
11:12

Controlling Parkinson's Disease With Adaptive Deep Brain Stimulation

Published on: July 16, 2014

22.6K
A Structured Rehabilitation Protocol for Improved Multifunctional Prosthetic Control: A Case Study
06:58

A Structured Rehabilitation Protocol for Improved Multifunctional Prosthetic Control: A Case Study

Published on: November 6, 2015

9.6K
Targeting Neuronal Fiber Tracts for Deep Brain Stimulation Therapy Using Interactive, Patient-Specific Models
14:14

Targeting Neuronal Fiber Tracts for Deep Brain Stimulation Therapy Using Interactive, Patient-Specific Models

Published on: August 12, 2018

9.0K

科学领域:

  • 生物医学工程
  • 控制系统

背景情况:

  • 功能性电刺激 (FES) 帮助和肌肉功能障碍患者的运动.
  • 有效的FES性能依赖于强大而有效的控制策略.

研究的目的:

  • 为FES系统引入一种新的预测比例-整数-过导数 (PPID-F) 控制器.
  • 使用艺术素优化器 (AO) 优化控制器参数,以改善系统响应.

主要方法:

  • 开发了一个PPID-F控制器,将预测元件集成到过的PID结构中.
  • 使用素优化器 (AO) 来最小化结合ITAE和峰值响应的客观功能.
  • 通过模拟与基准方法对控制器性能进行评估.

主要成果:

  • 与AO:PID-F相比,对AO优化的PPID-F控制器实现了48.19%的目标功能值降低.
  • 与其他基准控制器相比,表现显著改善 (48%-68%).
  • 在保持良好的频域特征的同时, 展示了增强的时间域性能.

结论:

  • 拟议的AO:PPID-F控制器为FES系统提供了更优质的控制方法.
  • 这种进步有可能改善功能电刺激应用.
  • 这项研究强调了元启发式优化在先进控制系统设计中的有效性.