Wind Turbine Control with Fuzzy Supervisory in the Partial Load Region

Mostafa Rahimi Dizaji; Aghil Yusefi Koma; Nasser Ghassembaglou; Sina Shakoorzadeh

doi:10.4028/www.scientific.net/AMR.433-440.2332

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Application of an Improved Fuzzy Reasoning Petri Nets Algorithm in IDS
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Crush Simulation of Car Using LSDYNA
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Wind Turbine Control with Fuzzy Supervisory in the Partial Load Region
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Improving on Human’s Movement Time Model for Pointing Task - Introducing the Target Position Factor into Fitts’ Law
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Analysis of Relationship between Service Recovery and Customer Satisfaction Based on Structure Equation
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Wind Turbine Control with Fuzzy Supervisory in the Partial Load Region

Abstract:

Improvement of the performance of wind turbines as a source of clean energy production depends on the ideal control. In this paper a controller design based on fuzzy logic and for partial load region of wind turbine has been discussed. Here, fuzzy logic is used as a gain scheduler for classical controller. In the structure of the Controller, feedback signal of angular velocity of generator rotor is used to adjust the torque on the generator, while the pitch angle was kept constant on the optimal value. Fuzzy rule-base of supervisory system was derived based on responses of the turbine system to the controller with various gains which lead to track the ideal power curve. Simulation results confirmed the improvement of system response in comparison to the controlling without fuzzy supervisory.