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

Gyroscope01:02

Gyroscope

2.9K
A gyroscope is defined as a spinning disk in which the axis of rotation is free to assume any orientation. When spinning, the orientation of the spin axis is unaffected by the orientation of the body that encloses it. The body or vehicle enclosing the gyroscope can be moved from place to place, while the orientation of the spin axis remains the same. This makes gyroscopes very useful in navigation, especially where magnetic compasses cannot be used, such as in crewed and crewless spacecraft,...
2.9K
Gyroscope: Precession01:24

Gyroscope: Precession

4.0K
Precession can be demonstrated effectively through a spinning top. If a spinning top is placed on a flat surface near the surface of the Earth at a vertical angle and is not spinning, it will fall over due to the force of gravity producing a torque acting on its center of mass. However, if the top is spinning on its axis, it precesses about the vertical direction, rather than topple over due to this torque. Precessional motion is a combination of a steady circular motion of the axis and the...
4.0K
Open and closed-loop control systems01:17

Open and closed-loop control systems

675
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...
675
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
Control System Problem01:21

Control System Problem

110
In an open-loop system, such as a basic thermostat, the poles of the transfer function influence the system's response but do not determine its stability. However, when feedback is introduced to form a closed-loop system, such as an advanced thermostat that adjusts heating based on room temperature, stability is governed by the new poles of the closed-loop transfer function.
When forming a closed-loop system, issues can arise if the poles cross into the unstable region, leading to potential...
110
Feedback control systems01:26

Feedback control systems

294
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...
294

You might also read

Related Articles

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

Sort by
Same author

A Double-Edged Algorithm Attitude: How Appreciation and Aversion Shape Students' AI Learning Anxiety in Higher Education.

Behavioral sciences (Basel, Switzerland)·2026
Same author

A Polyurea-Crosslinked Gel Polymer Electrolyte for Solvation and Interphase Regulation in Lithium Metal Batteries.

Angewandte Chemie (International ed. in English)·2026
Same author

Cotton field population phenotyping analysis based on 3D Gaussian reconstruction and dynamic spatial constraints.

Frontiers in plant science·2026
Same author

Establishment of a high-throughput field defoliation data survey strategy combined with genome-wide association studies to reveal the genetic basis of defoliation in cotton.

Plant phenomics (Washington, D.C.)·2026
Same author

Integrated multi-omics analysis to elucidate the genetic basis of seed traits in cotton.

Journal of advanced research·2026
Same author

Effects of Different Packaging Materials on Egg Translucency, Quality, and Shell Surface Microbiota.

Foods (Basel, Switzerland)·2026

Related Experiment Video

Updated: Jun 11, 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

Research on Adaptive Closed-Loop Control of Microelectromechanical System Gyroscopes under Temperature Disturbance.

Ke Yang1, Jianhua Li2, Jiajie Yang1

  • 1School of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, China.

Micromachines
|September 28, 2024
PubMed
Summary
This summary is machine-generated.

This study introduces an adaptive PID controller for Microelectromechanical System (MEMS) gyroscopes. The adaptive controller significantly reduces overshoot and improves startup stabilization, overcoming limitations of fixed-parameter controllers in varying temperatures.

Keywords:
MEMS gyroscopeadaptive PID controlclosed-loop controltemperature characteristics

More Related Videos

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
Fabrication of Microscope Stage for Vertical Observation with Temperature Control Function
06:21

Fabrication of Microscope Stage for Vertical Observation with Temperature Control Function

Published on: July 31, 2019

7.4K

Related Experiment Videos

Last Updated: Jun 11, 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
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
Fabrication of Microscope Stage for Vertical Observation with Temperature Control Function
06:21

Fabrication of Microscope Stage for Vertical Observation with Temperature Control Function

Published on: July 31, 2019

7.4K

Area of Science:

  • Control Systems Engineering
  • Microelectromechanical Systems (MEMS)
  • Inertial Sensing Technology

Background:

  • Microelectromechanical System (MEMS) gyroscopes are crucial inertial sensors for measuring angular velocity, widely used in consumer electronics and automotive applications.
  • Traditional closed-loop control systems for MEMS gyroscopes often employ Proportional-Integral-Derivative (PID) controllers with fixed parameters.
  • Fixed-parameter PID controllers present a performance trade-off between overshoot and rise time, and are susceptible to parameter drift caused by temperature variations.

Purpose of the Study:

  • To develop and evaluate an adaptive PID controller for MEMS gyroscopes.
  • To mitigate the performance degradation of PID controllers due to temperature-induced changes in gyroscope parameters.
  • To improve transient response characteristics, specifically reducing overshoot and settling time during gyroscope operation.

Main Methods:

  • An adaptive PID controller was designed to dynamically adjust its parameters based on the gyroscope's error value in response to temperature fluctuations.
  • A closed-loop control system incorporating the adaptive PID controller was implemented using Simulink.
  • The performance of the adaptive PID controller was quantitatively compared against a conventional fixed-parameter PID controller.

Main Results:

  • The adaptive PID controller demonstrated effective tracking of temperature-induced changes in gyroscope parameters.
  • Overshoot was reduced by an significant 96% compared to the classical PID controller, while maintaining a comparable rise time.
  • During gyroscope startup, the adaptive PID achieved a faster settling time of 0.036 s, outperforming the conventional PID's 0.06 s.

Conclusions:

  • The proposed adaptive PID controller offers a robust solution for enhancing MEMS gyroscope performance under varying thermal conditions.
  • This adaptive approach effectively addresses the limitations of fixed-parameter PID controllers, leading to improved stability and reduced overshoot.
  • The findings highlight the potential of adaptive control strategies for optimizing inertial sensor systems in dynamic environments.