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

418
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...
418
PD Controller: Design01:26

PD Controller: Design

682
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,...
682
PID Controller01:19

PID Controller

782
Proportional-Integral-Derivative (PID) controllers are widely used in various control systems to enhance stability and performance. In a thermostat, it adjusts heating or cooling based on the temperature difference between the actual and desired levels. They are often used in automotive speed systems, effectively managing sudden speed changes while maintaining a constant speed under varying conditions. On the other hand, PI controllers, commonly employed in voltage regulation, enhance stability...
782
Frequency-Domain Interpretation of PD Control01:24

Frequency-Domain Interpretation of PD Control

397
Proportional-Derivative (PD) controllers are widely used in fan control systems to improve stability and performance. A fan control system can be effectively represented using a Bode plot to illustrate the impact of a PD controller through its transfer function. The Bode plot visually conveys how PD control modifies the fan's response across various frequencies, providing a frequency domain interpretation of the controller's behavior.
The proportional control gain, combined with the...
397
PI Controller: Design01:24

PI Controller: Design

1.3K
Proportional Integral (PI) controllers are a fundamental component in modern control systems, widely used to enhance performance and mitigate steady-state errors. They are particularly effective in applications such as automatic brightness adjustment on smartphones, where they excel at mitigating steady-state errors for step-function inputs. Unlike PD controllers, which require time-varying errors to function optimally, PI controllers leverage their integral component to address residual...
1.3K
Time and frequency -Domain Interpretation of PI Control01:27

Time and frequency -Domain Interpretation of PI Control

446
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...
446

You might also read

Related Articles

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

Sort by
Same author

X-ray irradiation simultaneously mitigates chlorfenapyr and azoxystrobin residues and preserves postharvest quality of cowpea.

Food chemistry: X·2026
Same author

A CRISPR/dCas9 mediated electrochemical impedimetric biosensor for sensitive mtDNA detection.

Analytica chimica acta·2026
Same author

Effects and interactive effects of high-altitude environment on metabolism in normal and diabetic populations: a comparative metabolomics study.

Frontiers in endocrinology·2026
Same author

Network pharmacology, molecular docking, and dynamics reveal the mechanisms of Hejie Shengfa Decoction against alopecia areata.

Medicine·2026
Same author

Pan-cancer analysis of integrin alpha family and prognosis validation in head and neck squamous cell carcinoma.

Frontiers in oncology·2026
Same author

Molecular insights into gallic acid as a quorum sensing inhibitor targeting the LuxS/AI-2 system in Escherichia coli O157: H7 and its antibiofilm applications.

International journal of food microbiology·2026

Related Experiment Video

Updated: Feb 23, 2026

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

9.1K

Robust current control-based generalized predictive control with sliding mode disturbance compensation for PMSM

Xudong Liu1, Chenghui Zhang1, Ke Li1

  • 1School of Control Science and Engineering, Shandong University, Jinan, Shandong 250061, China.

ISA Transactions
|September 11, 2017
PubMed
Summary

This study presents a new control method for permanent magnet synchronous motors (PMSM) in electric drives. The approach enhances robustness against model uncertainties and disturbances for improved performance.

Keywords:
Electric drivesGeneralized predictive controlPMSMSliding mode disturbance compensation

More Related Videos

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

2.2K
The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
11:53

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

12.3K

Related Experiment Videos

Last Updated: Feb 23, 2026

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

9.1K
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

2.2K
The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
11:53

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

12.3K

Area of Science:

  • Electrical Engineering
  • Control Systems
  • Robotics

Background:

  • Permanent magnet synchronous motors (PMSM) are widely used in electric drives.
  • Controlling PMSMs is challenging due to model uncertainties and external disturbances.
  • Existing control methods may lack robustness and fast response.

Purpose of the Study:

  • To develop an advanced current control strategy for PMSMs.
  • To enhance robustness and response speed in electric drive systems.
  • To address limitations of current control methods under uncertain conditions.

Main Methods:

  • A generalized predictive control (GPC) method based on continuous-time models was developed.
  • A sliding mode disturbance compensation controller was integrated to improve adaptiveness.
  • The combined controller merges predictive and sliding mode control principles.
  • Parameter adjustment for the controller is designed to be straightforward.

Main Results:

  • The proposed controller demonstrated effective current tracking capabilities.
  • Significant disturbance rejection performance was observed.
  • The controller showed good robustness in the presence of model uncertainties.
  • Experimental and simulation results validated the controller's efficacy.

Conclusions:

  • The combined generalized predictive and sliding mode control offers superior performance for PMSM drives.
  • This method provides a robust and adaptive solution for electric drive control.
  • The controller is practical for digital implementation and easy to tune.