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

Root-Locus Method01:19

Root-Locus Method

201
A cruise control system in a car is designed to maintain a specified speed automatically by adjusting the gas pedal. The system continuously measures the vehicle's speed and makes fine adjustments to the pedal to achieve this goal. The root locus method is particularly useful for understanding how the cruise control system's behavior changes under varying conditions, such as when the car goes uphill, downhill, or faces strong wind resistance.
This system can be represented by a block...
201
Pole and System Stability01:24

Pole and System Stability

377
The transfer function is a fundamental concept representing the ratio of two polynomials. The numerator and denominator encapsulate the system's dynamics. The zeros and poles of this transfer function are critical in determining the system's behavior and stability.
Simple poles are unique roots of the denominator polynomial. Each simple pole corresponds to a distinct solution to the system's characteristic equation, typically resulting in exponential decay terms in the system's...
377
Rolling Resistance: Problem Solving01:17

Rolling Resistance: Problem Solving

403
Rolling resistance, also known as rolling friction, is the force that resists the motion of a rolling object, such as a wheel, tire, or ball, when it moves over a surface. It is caused by the deformation of the object and the surface in contact with each other, as well as other factors like internal friction, hysteresis, and energy losses within the materials. Rolling resistance opposes the object's motion, requiring additional energy to overcome it and maintain movement. In practical...
403
Open and closed-loop control systems01:17

Open and closed-loop control systems

900
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...
900
Feedback control systems01:26

Feedback control systems

374
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...
374
Plotting and Calibrating the Root Locus01:19

Plotting and Calibrating the Root Locus

163
Root loci often diverge as system poles shift from the real axis to the complex plane. Key points in this transition are the breakaway and break-in points, indicating where the root locus leaves and reenters the real axis. The branches of the root locus form an angle of 180/n degrees with the real axis, where n is the number of branches at a breakaway or break-in point.
The maximum gain occurs at the breakaway points between open-loop poles on the real axis, while the minimum gain is...
163

You might also read

Related Articles

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

Sort by
Same author

Stiffness optimization of electric spindle performance based on multi-layer perceptron integrated Bayesian.

Scientific reports·2025
Same author

Design and Analysis of 5-DOF Compact Electromagnetic Levitation Actuator for Lens Control of Laser Cutting Machine.

Micromachines·2024
Same author

Theoretical and Experimental Investigation of a Rotational Magnetic Couple Piezoelectric Energy Harvester.

Micromachines·2022
Same author

The ceRNA PVT1 inhibits proliferation of ccRCC cells by sponging miR-328-3p to elevate FAM193B expression.

Aging·2021
Same author

The short-term and long-term outcomes of indocyanine green tracer-guided laparoscopic radical gastrectomy in patients with gastric cancer.

World journal of surgical oncology·2021
Same author

Choledochoduodenostomy Versus Hepaticogastrostomy in Endoscopic Ultrasound-guided Drainage for Malignant Biliary Obstruction: A Meta-analysis and Systematic Review.

Surgical laparoscopy, endoscopy & percutaneous techniques·2021

Related Experiment Video

Updated: Aug 16, 2025

WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control
08:18

WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control

Published on: August 15, 2020

5.0K

Vehicle Stability Analysis under Extreme Operating Conditions Based on LQR Control.

Liping Wu1, Ran Zhou1, Junshan Bao2

  • 1School of Mechanical Engineering, Shenyang University of Technology, Shenyang 110870, China.

Sensors (Basel, Switzerland)
|December 23, 2022
PubMed
Summary

Electromagnetic active suspension with linear quadratic regulator (LQR) control significantly enhances vehicle stability and ride comfort during extreme driving conditions. This advanced system reduces risks associated with high speeds, low adhesion, and sudden maneuvers.

Keywords:
CarSimLQR controllerextreme operating conditionsvehicle stability

More Related Videos

Author Spotlight: Enhancing Engineering Education via WebVR-Based Online Laboratories
04:15

Author Spotlight: Enhancing Engineering Education via WebVR-Based Online Laboratories

Published on: February 23, 2024

1.1K
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

1.7K

Related Experiment Videos

Last Updated: Aug 16, 2025

WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control
08:18

WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control

Published on: August 15, 2020

5.0K
Author Spotlight: Enhancing Engineering Education via WebVR-Based Online Laboratories
04:15

Author Spotlight: Enhancing Engineering Education via WebVR-Based Online Laboratories

Published on: February 23, 2024

1.1K
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

1.7K

Area of Science:

  • Vehicle dynamics and control systems engineering.
  • Automotive safety and stability analysis.
  • Advanced suspension system design.

Background:

  • Vehicle stability and ride comfort degrade significantly under extreme operating conditions like high-speed driving, low-adhesion turns, and emergency maneuvers.
  • Existing research primarily addresses conventional conditions, with limited focus on vehicle stability during extreme scenarios.
  • Improving vehicle stability under extreme conditions is crucial for safety and performance.

Purpose of the Study:

  • To investigate and enhance vehicle stability under extreme operating conditions using electromagnetic active suspension.
  • To design and implement a linear quadratic regulator (LQR) controller for the electromagnetic active suspension system.
  • To analyze the effectiveness of the proposed control strategy through simulations and real-world data validation.

Main Methods:

  • Development of a seven degrees of freedom (7-DOF) vehicle dynamics model incorporating electromagnetic active suspension.
  • Design of a linear quadratic regulator (LQR) controller tailored for the electromagnetic active suspension system.
  • Creation of a joint MATLAB/CarSim simulation platform, with CarSim model validation against real vehicle test data.

Main Results:

  • Significant reductions in root mean square (RMS) values for body droop acceleration (57.48%) and pitch angle acceleration (28.81%) under high-speed, uneven road conditions.
  • Substantial improvements in RMS values for body droop acceleration (58.25%), pitch acceleration (55.41%), and roll angle acceleration (31.39%) during low-adhesion, double-shift maneuvers.
  • Demonstrated enhancement of vehicle stability across various extreme operating scenarios.

Conclusions:

  • Electromagnetic active suspension, when integrated with an LQR controller, effectively improves vehicle stability under extreme working conditions.
  • The proposed system demonstrably reduces driving risks associated with challenging road and driving dynamics.
  • The findings highlight the potential of advanced active suspension systems for enhancing overall vehicle safety and performance in demanding situations.