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

Turbine-Governor Control01:17

Turbine-Governor Control

1.3K
Turbine-governor control is crucial for maintaining power system stability by balancing turbine mechanical power output with electrical load demand. This mechanism ensures that generator frequency and rotor speed are within acceptable limits during load variations. Turbine-generator units store kinetic energy due to their rotating masses; this energy is released to meet the load requirement when the load increases. The electrical torque of turbines rises to meet the demand, whereas the...
1.3K
Generator Voltage Control01:21

Generator Voltage Control

886
Generator voltage control is crucial for maintaining the stable operation of synchronous generators and wind turbines. In older models, a DC generator driven by the rotor delivers DC power to the rotor's field winding, and the power is transferred through slip rings and brushes. In the latest models, static or brushless exciters are used. Static exciters rectify AC power from the generator terminals and then transfer the DC power directly to the rotor. Brushless exciters, on the other hand, use...
886
Wind Turbine Machine Models01:24

Wind Turbine Machine Models

796
In the growing field of wind energy, incorporating wind turbine models into transient stability analysis is essential. Induction and synchronous machines are the primary models used, with induction machines being prevalent due to their simplicity and reliability.
Induction machines interact through the rotating magnetic field generated by the stator and the rotor. The key parameter is slip, which is the difference between synchronous speed and rotor speed relative to synchronous speed. Slip is...
796
Time-Domain Interpretation of PD Control01:07

Time-Domain Interpretation of PD Control

500
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...
500
PD Controller: Design01:26

PD Controller: Design

761
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,...
761
Time and frequency -Domain Interpretation of PI Control01:27

Time and frequency -Domain Interpretation of PI Control

503
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...
503

You might also read

Related Articles

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

Sort by
Same author

A foundational quantum framework for multi-pattern string matching in k-mer detection.

Frontiers in bioinformatics·2026
Same author

Quantum implementation of multi-pattern string matching for k-mer detection.

bioRxiv : the preprint server for biology·2026
Same author

Celestial Biotechnology: An Innovative Protein Comparison and Analysis Pipeline.

Advances in experimental medicine and biology·2025
Same author

Protein cleaver: an interactive web interface for <i>in silico</i> prediction and systematic annotation of protein digestion-derived peptides.

Frontiers in bioinformatics·2025
Same author

A Comprehensive Evaluation of IoT Cloud Platforms: A Feature-Driven Review with a Decision-Making Tool.

Sensors (Basel, Switzerland)·2025
Same author

Quantum algorithm for protein-ligand docking sites identification in the interaction space.

Journal of computer-aided molecular design·2025

Related Experiment Video

Updated: May 1, 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

1.7K

Fuzzy regulator design for wind turbine yaw control.

Stefanos Theodoropoulos1, Dionisis Kandris2, Maria Samarakou3

  • 1School of Engineering and Physical Sciences, Heriot Watt University, Edinburgh EH14 1AS, UK.

Thescientificworldjournal
|April 3, 2014
PubMed
Summary
This summary is machine-generated.

This study introduces an advanced fuzzy logic controller for intelligent yaw control in wind turbines, enhancing performance and preventing unnecessary movement. The system adapts to wind conditions, maintaining optimal power output and system longevity.

More Related Videos

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

11.0K
Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator
06:04

Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator

Published on: February 14, 2025

1.1K

Related Experiment Videos

Last Updated: May 1, 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

1.7K
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

11.0K
Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator
06:04

Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator

Published on: February 14, 2025

1.1K

Area of Science:

  • Engineering
  • Control Systems
  • Renewable Energy

Background:

  • Wind turbine yaw control is crucial for maximizing energy capture and minimizing structural stress.
  • Traditional control systems may struggle with the dynamic and variable nature of wind conditions.

Purpose of the Study:

  • To develop an advanced fuzzy logic controller for intelligent automatic control of wind turbine yaw movement.
  • To enhance wind turbine performance efficacy by considering wind velocity and yaw error correlation.

Main Methods:

  • Development of a novel fuzzy logic controller.
  • Integration of wind velocity and yaw error correlation into the control strategy.
  • Extensive simulation tests to evaluate system effectiveness.

Main Results:

  • The proposed fuzzy logic controller demonstrated intelligent automatic control of yaw movement.
  • The system effectively adapted to existing wind conditions, maintaining power output near nominal values.
  • The controller preserved the yaw system from unnecessary movements, improving longevity.

Conclusions:

  • The advanced fuzzy logic controller offers an effective solution for wind turbine yaw control.
  • The system enhances operational efficiency and component preservation in wind turbines.
  • Simulation results validate the proposed system's effectiveness and adaptability.