IET Electric Power Applications · 2020 · 37 citations · 26 references
EngineeringElectrical EngineeringEnergy SystemsPower ElectronicsRenewable Energy SystemsAdaptive ControlControl SystemsControl TheoryPower ControlRenewable Energy Power ConversionWind Energy SystemsAdaptive BacksteppingAdaptive Backstepping ControlBackstepping ControlLyapunov StabilityLyapunov Stability AnalysisLyapunov Stability TheoryWind Energy Conversion SystemsWind Power Systems
This work develops a real‐time implementation on the DSPACE environment of an adaptive non‐linear control strategy for a wind energy conversion system (WECS) based on the doubly‐fed induction generator (DFIG). The DSPACE‐DS1104 board is directly associated with an experimental bench of a wind power system. The non‐linear backstepping controller has been realised to control the active and reactive powers of the DFIG connected directly to the electricity grid via two converters (grid side and machine side). First, a full review of the WECS is discussed. Subsequently, a detailed description of the backstepping control laws based on the Lyapunov stability technique is reported. Consequently, a simulation on the Matlab & Simulink environment was carried out to test the proposed control model in terms of performance and robustness. The second part of this work was devoted to the experimental validation of the adaptive backstepping control algorithm on a test bench to prove its efficiency. The results obtained show a perfect correlation between simulations and experiments (in static and dynamic regime) even for fluctuating wind speed.
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John Lund, Tonya L. Boyd · Geothermics · 2016 · 1.4K citations
José A. Domínguez‐Navarro, Rodolfo Dufo‐López, José M. Yusta et al. · International Journal of Electrical Power & Energy Systems · 2018 · 444 citations
Engineering, Automotive Engineering, Electrical Engineering +16