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Higher Performance of the Type 2 Fuzzy Logic Controller for Direct Power Control of Wind Generator Based on a Doubly Fed Induction Generator in Dynamic Regime

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Artificial Intelligence in Renewable Energetic Systems (ICAIRES 2017)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 35))

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Abstract

This paper presents an application of a new control based on Type 2 Fuzzy Logic Controller (T2FLC) for controlling the both powers (active, reactive) of the Doubly Fed Induction Generator (DFIG) in Wind Energy Conversion System (WECS). In addition, a comparison applied between T2FLC and a classical Type 1 Fuzzy Logic Controller (T1FLC) to the purpose of showing the performance of the T2FLC controller as compared to T1FLC controller. The proposed controllers implemented and tested using MATLAB/Simulink. The simulation results show that the controller based on T2FLC characterized by good performance with better convergence and it is fast than those obtained with the T1FLC method.

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Correspondence to Belkacem Belabbas .

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Belabbas, B., Allaoui, T., Tadjine, M., Denaï, M. (2018). Higher Performance of the Type 2 Fuzzy Logic Controller for Direct Power Control of Wind Generator Based on a Doubly Fed Induction Generator in Dynamic Regime. In: Hatti, M. (eds) Artificial Intelligence in Renewable Energetic Systems. ICAIRES 2017. Lecture Notes in Networks and Systems, vol 35. Springer, Cham. https://doi.org/10.1007/978-3-319-73192-6_22

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  • DOI: https://doi.org/10.1007/978-3-319-73192-6_22

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-73191-9

  • Online ISBN: 978-3-319-73192-6

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