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

118
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...
118
Root-Locus Method01:19

Root-Locus Method

154
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...
154
Feedback control systems01:26

Feedback control systems

315
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...
315
Open and closed-loop control systems01:17

Open and closed-loop control systems

758
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...
758
PI Controller: Design01:24

PI Controller: Design

284
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...
284
PID Controller01:19

PID Controller

119
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...
119

You might also read

Related Articles

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

Sort by
Same author

Wheat MYB46-like Transcription Factor Stimulates Cuticular Wax Biosynthesis.

Biomolecules·2026
Same author

Infrared and Visible Image Fusion Network Based on Self-Compensating Lightweight Convolution.

Sensors (Basel, Switzerland)·2026
Same author

Intercellular chemerin-cmklr1 couples epicardial mechanosensing to fibroblasts in pressure overload.

Nature communications·2026
Same author

Carrier-free targeted co-assembly of glycyrrhizin and puerarin overcomes ocular barriers for corneal alkali burn therapy via macrophage reprogramming.

Materials today. Bio·2026
Same author

Integrated Molecular Networking and NMR Metabolomics for In-Depth Chemical Profiling and Characteristic Marker Discovery of Qinling <i>Apis cerana</i> Honey.

Journal of agricultural and food chemistry·2026
Same author

Oxyanions as dynamic regulators of the oxygen evolution reaction.

Chemical communications (Cambridge, England)·2026
Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
See all related articles

Related Experiment Video

Updated: Jul 9, 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

1.7K

PMSM Torque Ripple Suppression Method Based on SMA-Optimized ILC.

Haoyu Li1, Yingqing Guo1, Qiang Xu1

  • 1College of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing 210037, China.

Sensors (Basel, Switzerland)
|December 9, 2023
PubMed
Summary
This summary is machine-generated.

This study introduces a novel method to reduce torque ripple in permanent magnet synchronous motors (PMSMs) using SMA-optimized Iterative Learning Control (ILC). The approach effectively suppresses vibrations and noise by optimizing control parameters without prior system knowledge.

Keywords:
PMSMSMAiterative learningtorque ripple suppression

More Related Videos

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

8.7K
Method to Measure Tone of Axial and Proximal Muscle
10:41

Method to Measure Tone of Axial and Proximal Muscle

Published on: December 14, 2011

17.6K

Related Experiment Videos

Last Updated: Jul 9, 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

1.7K
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

8.7K
Method to Measure Tone of Axial and Proximal Muscle
10:41

Method to Measure Tone of Axial and Proximal Muscle

Published on: December 14, 2011

17.6K

Area of Science:

  • Electrical Engineering
  • Control Systems
  • Robotics

Background:

  • Periodic torque ripple in permanent magnet synchronous motors (PMSMs) arises from cogging torque and flux harmonics.
  • This ripple causes speed fluctuations, mechanical vibration, and noise, degrading vector control system performance.

Purpose of the Study:

  • To propose and validate a novel method for suppressing torque ripple in PMSMs.
  • To enhance the performance of vector control systems by mitigating torque ripple.
  • To develop a parameter optimization technique for Iterative Learning Control (ILC) that does not require prior system knowledge.

Main Methods:

  • A torque ripple suppression method for PMSMs based on Sine-Cosine Algorithm (SMA)-optimized Iterative Learning Control (ILC) was developed.
  • The SMA was employed to determine optimal key parameters for the ILC within the PMSM control system.
  • Real-time torque deviation was calculated via iterative learning and compensated to the control current setpoint.

Main Results:

  • The proposed method demonstrated high efficiency and accuracy in parameter optimization.
  • Iterative Learning Control (ILC) performance was significantly improved through SMA optimization.
  • The method effectively reduced the influence of higher harmonics in the control current, thereby suppressing torque ripple amplitude.

Conclusions:

  • The SMA-optimized ILC method successfully suppresses torque ripple in PMSMs.
  • This approach offers an effective solution for improving motor performance by reducing vibrations and noise.
  • The technique provides a robust and parameter-free approach to torque ripple mitigation in PMSM control systems.