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International Journal of Advanced Engineering, Management and Science

Performance Assessment of a Wind Turbine using Fuzzy Logic and Artificial Network Controllers

( Vol-2,Issue-12,December - December 2016 )

Author(s): J. Aymen, Z.Ons, M.Mohamed Nejib

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Page No: 1988-1994
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Wind Turbine Modules, MPPT, Fuzzy Logic Control, Artificial Neural Network Control, Matlab/Simulink models, Tip Speed Ratio, FIS .


This paper makes a comparison between two control methods for maximum power point tracking (MPPT) of a wind turbine modules using Permanent Magnet Synchronous Generators(PMSG) under fixed and different wind condition: the Fuzzy Logic (FL) and the Artificial Neural Network control (ANN). Both techniques have been simulated and analyzed by using Matlab/Simulink software. The simulated power transitions and the power tracking time realized by the fuzzy logic controller and the neural network controller has been evaluated in comparison with Tip Speed Ratio controller (TSR).

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