Comparative Study of Robust Control Strategies for a Dfig-Based Wind Turbine
Mohamed BenkahlaElectrical Engineering Department, Hassiba Benbouali University Laboratoire Gnie Electrique et Energies Renouvelables (LGEER) Chlef, AlgeriaRachid TalebElectrical Engineering Department, Hassiba Benbouali University Laboratoire Gnie Electrique et Energies Renouvelables (LGEER) Chlef, AlgeriaZinelaabidine BoudjemaElectrical Engineering Department, Hassiba Benbouali University Laboratoire Gnie Electrique et Energies Renouvelables (LGEER) Chlef, Algeria
2016en
ABI
Abstract
Conventional vector control configurations which use a proportional-integral (PI) regulator for the powers DFIGs driven have some drawbacks such as parameter tuning difficulties, mediocre dynamic performances and reduced robustness. So, based on analysis of the DFIG model, fed by a direct AC-AC converter, two nonlinear algorithms: sliding mode and adaptive fuzzy logic is used to control independently active and reactive powers provided by the stator side of the DFIG to the grid. Their respective performances are compared with the conventional PI controller regarding reference tracking, response to sudden speed variation and robustness against machine parameters variations.
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