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

Simplified Synchronous Machine Model01:30

Simplified Synchronous Machine Model

The Synchronous Machine Model is a fundamental tool in analyzing and ensuring the transient stability of power systems. This model simplifies the representation of a synchronous machine under balanced three-phase positive-sequence conditions, assuming constant excitation and ignoring losses and saturation. The model is pivotal for understanding the behavior of synchronous generators connected to a power grid, particularly during transient events.
In this model, each generator is connected to a...
Electro-mechanical Systems01:19

Electro-mechanical Systems

Electromechanical systems are intricate configurations that effectively combine electrical and mechanical elements to achieve a desired outcome. Central to many of these systems is the DC motor, a device that converts electrical energy into mechanical motion, enabling various applications ranging from simple fans to complex robotic mechanisms.
A key component of the DC motor is the armature, a rotating circuit positioned within a magnetic field. As an electric current passes through the...
Torque On A Current Loop In A Magnetic Field01:13

Torque On A Current Loop In A Magnetic Field

The most common application of magnetic force on current-carrying wires is in electric motors. These consist of loops of wire, which are placed between the magnets with a magnetic field. When current flows through the loops, the magnetic field applies torque, which causes the shaft to rotate, thus converting electrical energy to mechanical energy.
Consider a rectangular current-carrying loop containing N turns of wire, placed in a uniform magnetic field. The net force on a current-carrying loop...
Magnetic Damping01:17

Magnetic Damping

Eddy currents can produce significant drag on motion, called magnetic damping. For instance, when a metallic pendulum bob swings between the poles of a strong magnet, significant drag acts on the bob as it enters and leaves the field, quickly damping the motion.
If, however, the bob is a slotted metal plate, the magnet produces a much smaller effect. When a slotted metal plate enters the field, an emf is induced by the change in flux; however, it is less effective because the slots limit the...
Multimachine Stability01:25

Multimachine Stability

Multimachine stability analysis is crucial for understanding the dynamics and stability of power systems with multiple synchronous machines. The objective is to solve the swing equations for a network of M machines connected to an N-bus power system.
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:
Linear Approximation in Time Domain01:21

Linear Approximation in Time Domain

Nonlinear systems often require sophisticated approaches for accurate modeling and analysis, with state-space representation being particularly effective. This method is especially useful for systems where variables and parameters vary with time or operating conditions, such as in a simple pendulum or a translational mechanical system with nonlinear springs.
For a simple pendulum with a mass evenly distributed along its length and the center of mass located at half the pendulum's length, the...

You might also read

Related Articles

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

Sort by
Same author

DAIS-MQTT: A Distributed MQTT Communication Method Based on Intelligent QoS Routing and Hierarchical Collaboration.

Sensors (Basel, Switzerland)·2026
Same author

Associations of physical activity during pregnancy with antenatal and postpartum depression: a systematic review and dose-response meta-analysis.

BMC pregnancy and childbirth·2026
Same author

TPPP/p25 amyloid seeding activity as a specific biomarker for multiple system atrophy.

Cell·2026
Same author

Enhanced Bioactivity of <i>Puerariae</i> Radix- <i>Hovenia</i> Seed Extracts Through <i>Lactiplantibacillus plantarum</i> and <i>Lacticaseibacillus paracasei</i> Co-Fermentation: Impact on Alcoholic Liver Injury and Macrophage Polarization.

Food science & nutrition·2026
Same author

Structural characterization of a fructan from Kalimeris indica and its efficacy in accelerating wound healing.

Carbohydrate polymers·2026
Same author

Tetrasargltones A and B, Fully Helically Polymerized Lindenane Sesquiterpenoid Tetramers from <i>Sarcandra glabra</i>.

Organic letters·2026

Related Experiment Video

Updated: May 31, 2026

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

Echo state network-based model reference adaptive predefined time control for magnetic levitation linear synchronous

Yunpeng Sun1, Wanning Bai2, Zelai Xu3

  • 1School of Electrical Engineering, Shenyang Institute of Engineering, Shenyang, 110136, China. sunyp@sie.edu.cn.

Scientific Reports
|May 29, 2026
PubMed
Summary
This summary is machine-generated.

This study introduces a new control method for magnetic levitation motors using an echo state network (ESN) for faster, more robust performance. The predefined-time control ensures rapid convergence of speed errors, independent of initial conditions.

Related Experiment Videos

Last Updated: May 31, 2026

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

Area of Science:

  • Control Systems Engineering
  • Robotics
  • Artificial Intelligence

Background:

  • Magnetic levitation linear synchronous motors (Maglev LSMs) require advanced control for optimal transient performance and robustness.
  • Existing control methods may struggle with unknown disturbances and achieving rapid, predictable convergence.

Purpose of the Study:

  • To develop a novel predefined-time control strategy for Maglev LSMs.
  • To enhance transient performance and robustness against unknown disturbances.
  • To enable user-defined convergence time for speed error.

Main Methods:

  • Utilizing an echo state network (ESN) for disturbance compensation.
  • Designing a predefined-time adaptation law to accelerate ESN convergence.
  • Integrating predefined-time stability theory with model reference adaptive control (MRAC).

Main Results:

  • A model reference adaptive predefined-time speed tracking controller was developed.
  • The controller ensures convergence time is tunable and independent of initial states.
  • Theoretical analysis confirmed error convergence within the predefined time.

Conclusions:

  • The proposed ESN-based MRAC controller significantly improves transient performance and robustness in Maglev LSMs.
  • Simulation results validate the controller's efficacy and superiority over existing methods.
  • This approach offers precise control over convergence speed for critical applications.