Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Control Systems01:10

Control Systems

1.1K
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...
1.1K
Feedback control systems01:26

Feedback control systems

296
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...
296
PI Controller: Design01:24

PI Controller: Design

222
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...
222

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Cascade Nanozyme-Catalyzed Tophi Dissolution and ROS Scavenging for Anti-Inflammatory Therapy in Gouty Arthritis.

Small (Weinheim an der Bergstrasse, Germany)·2026
Same author

Integrative analysis links traditional Chinese medicine syndrome differentiation to multi-dimensional skin phenotypes and predicts therapeutic response in photographs.

Frontiers in medicine·2026
Same author

Damage<b>-</b>associated molecular pattern <b>scoring system and its role in prognosis and immunotherapy</b> in hepatocellular carcinoma.

Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences·2026
Same author

Expressive writing intervention on optimism and coping modes of newly diagnosed people with human immunodeficiency virus: A randomized controlled trial.

Medicine·2026
Same author

Dietary and supplemental vitamin D intake and pain interference in adults with chronic spine-related pain: a cross-sectional survey study.

Frontiers in nutrition·2026
Same author

PFV Tas protein recruits hnRNPF to promote the splicing of tas/bet pre-mRNA.

Cell & bioscience·2026

Related Experiment Video

Updated: Jun 13, 2025

Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques
09:01

Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques

Published on: April 4, 2017

8.6K

A Smith Predictor Modified with a Pseudo Feedforward Control for the Charge-Coupled Device-Based Optoelectronic

Keran Deng1, Juan Tan2, Piao Chen2

  • 1Chongqing Key Laboratory of Photo-Electric Functional Materials and Laser Technology, College of Physics and Electronic Engineering, Chongqing Normal University, Chongqing 401331, China.

Sensors (Basel, Switzerland)
|September 14, 2024
PubMed
Summary

A modified Smith predictor enhances optoelectronic tracking systems (OTS) by reducing boresight error delay. This improved control bandwidth boosts tracking accuracy and response speed in CCD-based systems.

Keywords:
fast steering mirrorshigh-precision optoelectronic tracking systempseudo feedforward controlsmith predictor

More Related Videos

A Protocol for Real-time 3D Single Particle Tracking
10:16

A Protocol for Real-time 3D Single Particle Tracking

Published on: January 3, 2018

14.9K
Video-oculography in Mice
09:43

Video-oculography in Mice

Published on: July 19, 2012

23.8K

Related Experiment Videos

Last Updated: Jun 13, 2025

Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques
09:01

Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques

Published on: April 4, 2017

8.6K
A Protocol for Real-time 3D Single Particle Tracking
10:16

A Protocol for Real-time 3D Single Particle Tracking

Published on: January 3, 2018

14.9K
Video-oculography in Mice
09:43

Video-oculography in Mice

Published on: July 19, 2012

23.8K

Area of Science:

  • Optoelectronics
  • Control Systems Engineering
  • Image Processing

Background:

  • High-precision optoelectronic tracking systems (OTS) using charge-coupled devices (CCD) suffer from boresight error delay.
  • This delay limits the control bandwidth, impacting visual tracking response speed and accuracy.
  • Traditional Smith predictor methods offer limited bandwidth improvement due to model uncertainties.

Purpose of the Study:

  • To propose a novel delay compensation method for OTS.
  • To enhance the control bandwidth and tracking performance of CCD-based visual tracking systems.
  • To overcome the limitations of conventional Smith predictors in high-precision tracking.

Main Methods:

  • Development of a modified Smith predictor incorporating pseudo feedforward control.
  • Integration of the modified predictor into the closed-loop control of an OTS.
  • Experimental validation of the proposed method against the classic Smith predictor.

Main Results:

  • The modified Smith predictor significantly reduced residual errors in the OTS.
  • Maximum residual error at 1 Hz decreased by 22.5%, from 365 to 283 arcseconds.
  • Consistently lower residual errors were observed across the 0.2 Hz to 2 Hz frequency band compared to the classic method.

Conclusions:

  • The proposed pseudo feedforward-modified Smith predictor effectively compensates for time delays in OTS.
  • This method offers substantial improvements in tracking performance and control bandwidth.
  • The approach enhances the accuracy and responsiveness of high-precision optoelectronic tracking systems.