A Novel Chaos Control Approach with Adaptive ANN Compensation for a DFIG-Based Wind Turbine
This paper proposes a novel chaos control approach with adaptive artificial neural network (ANN) compensation for a DFIG-based wind turbine. First, a nonlinear third-order DFIG model is established to characterize the complex dynamic and chaotic behavior of the system. Subsequently, a novel state-feedback control law i...