Power and Velocity Control of Wind Turbines by Adaptive Fuzzy Controller during Full Load Operation

Document Type: Research Paper


1 PhD, Faculty of Science and Engineering, School of Civil and Me- chanical Engineering, Curtin University, Perth, Australia

2 Professor, Center of Advanced Systems and Technologies (CAST), School of Mechanical Engineering, College of Engineering, University of Tehran, Tehran, Iran

3 Computational Engineering and Science Research Centre (CESRC), Faculty of Health, Engineering and Science, University of Southern Queensland, Toow- oomba, Australia


Research on wind turbine technologies have focused primarily on power cost reduction. Generally, this aim has been achieved by increasing power output while maintaining the structural load at a reasonable level. However, disturbances, such as wind speed, affect the performance of wind turbines, and as a result, the use of various types of controller becomes crucial.
This paper deals with two adaptive fuzzy controllers at full load operation. The first controller uses the generated power, and the second one uses the angular velocity as feedback signals. These feedback signals act to control the load torque on the generator and blade pitch angle. Adaptive rules, derived from the fuzzy controller, are defined based on the differences between state variables of the power and angular velocity of the generator and their nominal values.
The results, which are compared with verified results of reference controller, show that the proposed adaptive fuzzy controller in full load operation has a higher efficiency than that of reference ones, insensitive to fast wind speed variation that is considered as disturbance.


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