Fuzzy regulator design for wind turbine yaw control.

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.