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

Second Order systems I01:20

Second Order systems I

144
A servo system exemplifies a second-order system, featuring a proportional controller and load elements that ensure the output position aligns with the input position. The relationship between these components is described by a second-order differential equation. Applying the Laplace transform under zero initial conditions yields the transfer function, showing how inputs are converted to outputs in the system.
By reinterpreting the system, one can derive the closed-loop transfer function, which...
144
Time-Domain Interpretation of PD Control01:07

Time-Domain Interpretation of PD Control

92
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...
92
Controller Configurations01:22

Controller Configurations

93
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...
93
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
PD Controller: Design01:26

PD Controller: Design

215
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,...
215
Feedback control systems01:26

Feedback control systems

303
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...
303

You might also read

Related Articles

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

Sort by
Same author

Active-ion-gated room temperature acetone gas sensing of ZnO nanowires array.

Exploration (Beijing, China)·2023
Same author

Three neutralizing mAbs induced by MPXV A29L protein recognizing different epitopes act synergistically against orthopoxvirus.

Emerging microbes & infections·2023
Same author

Cobalt/aluminum co-substitution in a LiNi

Chemical communications (Cambridge, England)·2023
Same author

Regulatory mechanisms and clinical applications of tumor-driven exosomal circRNAs in cancers.

International journal of medical sciences·2023
Same author

The mechanism of white flower formation in Brassica rapa is distinct from that in other Brassica species.

TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik·2023
Same author

Moderate Intensity of Treadmill Exercise Rescues TBI-Induced Ferroptosis, Neurodegeneration, and Cognitive Impairments via Suppressing STING Pathway.

Molecular neurobiology·2023

Related Experiment Video

Updated: Jun 21, 2025

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator
06:45

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator

Published on: October 28, 2022

1.6K

Adaptive Disturbance Suppression Method for Servo Systems Based on State Equalizer.

Jinzhao Li1,2, Yonggang Li2, Xiantao Li2

  • 1University of Chinese Academy of Sciences, No. 19, Yuquan Rd., Beijing 100049, China.

Sensors (Basel, Switzerland)
|July 13, 2024
PubMed
Summary

A new control algorithm enhances aviation optoelectronic stabilization platforms by suppressing high-frequency disturbances. This method improves system bandwidth and stability, outperforming traditional approaches for aviation control systems.

Keywords:
adaptive robust controlaviation optoelectronic stability platformhigh frequency disturbancestate equalizer speed closed-loop

More Related Videos

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
Real-Time DC-dynamic Biasing Method for Switching Time Improvement in Severely Underdamped Fringing-field Electrostatic MEMS Actuators
11:44

Real-Time DC-dynamic Biasing Method for Switching Time Improvement in Severely Underdamped Fringing-field Electrostatic MEMS Actuators

Published on: August 15, 2014

10.3K

Related Experiment Videos

Last Updated: Jun 21, 2025

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator
06:45

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator

Published on: October 28, 2022

1.6K
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
Real-Time DC-dynamic Biasing Method for Switching Time Improvement in Severely Underdamped Fringing-field Electrostatic MEMS Actuators
11:44

Real-Time DC-dynamic Biasing Method for Switching Time Improvement in Severely Underdamped Fringing-field Electrostatic MEMS Actuators

Published on: August 15, 2014

10.3K

Area of Science:

  • Control Systems Engineering
  • Aerospace Engineering
  • Optoelectronics

Background:

  • Aviation optoelectronic stabilization platforms are susceptible to environmental disturbances.
  • Traditional proportional integral adaptive robust (PI + ARC) control algorithms have limited effectiveness against high-frequency disturbances due to bandwidth constraints.

Purpose of the Study:

  • To introduce a novel control algorithm, PI + ARC + State equalizer, to enhance the stability and disturbance rejection of aviation optoelectronic stabilization platforms.
  • To improve the control system's bandwidth and convergence speed.

Main Methods:

  • Implementation of a state equalizer speed closed-loop control algorithm combined with PI + ARC.
  • Experimental validation comparing the new algorithm against the traditional PI + ARC method.

Main Results:

  • The proposed PI + ARC + State equalizer algorithm significantly suppressed high-frequency disturbances from mechanical resonance.
  • Experimental results showed a 47.6% increase in closed-loop bandwidth compared to PI + ARC.
  • The new control structure demonstrated enhanced robustness against variations in model parameters and feedback sensors.

Conclusions:

  • Integrating a state equalizer speed closed-loop with PI + ARC effectively suppresses high-frequency disturbances.
  • The enhanced control system offers improved stability, faster convergence, and greater robustness for aviation applications.