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

Time-Domain Interpretation of PD Control01:07

Time-Domain Interpretation of PD Control

322
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...
322
Simplified Synchronous Machine Model01:30

Simplified Synchronous Machine Model

659
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...
659
Torque On A Current Loop In A Magnetic Field01:13

Torque On A Current Loop In A Magnetic Field

5.6K
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...
5.6K
Time and frequency -Domain Interpretation of PI Control01:27

Time and frequency -Domain Interpretation of PI Control

352
Proportional-Integral (PI) controllers are essential in many control systems to improve stability and performance. They are commonly used in everyday devices like thermostats to enhance system damping and reduce steady-state error. When the zero in the controller's transfer function is optimally placed, the system benefits significantly in terms of stability and accuracy.
Acting as a low-pass filter, the PI controller slows the system's response and extends settling times. This requires...
352
Electro-mechanical Systems01:19

Electro-mechanical Systems

1.5K
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...
1.5K
Motor Units00:46

Motor Units

61.6K
A motor unit consists of two main components: a single efferent motor neuron (i.e., a neuron that carries impulses away from the central nervous system) and all of the muscle fibers it innervates. The motor neuron may innervate multiple muscle fibers, which are single cells, but only one motor neuron innervates a single muscle fiber.
61.6K

You might also read

Related Articles

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

Sort by
Same author

ZmAGO18b negatively regulates maize resistance against southern leaf blight.

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

Related Experiment Video

Updated: Dec 26, 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

2.0K

High Precision Low-Speed Control for Permanent Magnet Synchronous Motor.

Xianqi Xia1,2, Bao Zhang1, Xiantao Li1

  • 1Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China.

Sensors (Basel, Switzerland)
|March 14, 2020
PubMed
Summary

This study introduces a novel sliding mode control (SMC) approach for permanent magnet synchronous motors (PMSM) in inertial stabilized platforms. The enhanced method combines iterative learning control (ILC) and extended state observer (ESO) to improve performance and reduce chattering.

Keywords:
extended state observerinertia stabilityiterative learning controlpermanent magnet synchronous motorsliding mode control

More Related Videos

A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump
09:04

A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump

Published on: June 1, 2022

3.4K
A Method for Evaluating Timeliness and Accuracy of Volitional Motor Responses to Vibrotactile Stimuli
07:28

A Method for Evaluating Timeliness and Accuracy of Volitional Motor Responses to Vibrotactile Stimuli

Published on: August 2, 2016

7.6K

Related Experiment Videos

Last Updated: Dec 26, 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

2.0K
A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump
09:04

A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump

Published on: June 1, 2022

3.4K
A Method for Evaluating Timeliness and Accuracy of Volitional Motor Responses to Vibrotactile Stimuli
07:28

A Method for Evaluating Timeliness and Accuracy of Volitional Motor Responses to Vibrotactile Stimuli

Published on: August 2, 2016

7.6K

Area of Science:

  • Robotics and Control Systems
  • Electrical Engineering
  • Mechatronics

Background:

  • Permanent magnet synchronous motors (PMSM) present control challenges due to inherent defects.
  • Existing control methods for PMSM-based inertial stabilized platforms often struggle with high performance and system chattering.
  • Traditional sliding mode control (SMC) faces a trade-off between performance and undesirable chattering.

Purpose of the Study:

  • To develop an effective high-performance control strategy for PMSM in inertial stabilized platforms.
  • To address the limitations of traditional SMC, specifically the chattering phenomenon.
  • To enhance system reliability and pointing accuracy in dynamic environments.

Main Methods:

  • A novel approach law for sliding mode control (SMC) was developed.
  • Iterative learning control (ILC) was integrated to compensate for periodic torque ripple in PMSM.
  • An extended state observer (ESO) was employed to estimate and compensate for lumped disturbances.
  • The proposed control scheme was implemented and tested on a DSP + CPLD-based inertial stabilization platform.

Main Results:

  • The combined SMC, ILC, and ESO strategy significantly suppressed system chattering.
  • The proposed method demonstrated superior disturbance rejection capabilities compared to traditional PI + DOB.
  • Experimental results validated the enhanced performance in terms of system reliability and pointing accuracy.

Conclusions:

  • The novel SMC approach, augmented with ILC and ESO, offers a robust and high-performance solution for PMSM control in inertial stabilized platforms.
  • This integrated control strategy effectively mitigates chattering and enhances resilience to external disturbances.
  • The findings suggest a promising direction for improving the precision and stability of stabilization systems.