Indirect active and reactive powers control of doubly fed induction generator fed by three-level adaptive-network-based fuzzy inference system – pulse width modulation converter with a robust method based on super twisting algorithms

Aim. This paper presents the minimization of reactive and active power ripples doubly fed induction generators using super twisting algorithms pulse width modulation based on neuro-fuzzy algorithms. Method. The main role indirect control is to regulate powers for variable speed dual-rotor wind systems. field-oriented a classical scheme simple structure. Pulse an adaptive-network-based fuzzy inference system new technique; characterized by algorithm, which gives good harmonic distortion compared other techniques. Novelty. system-pulse proposed. Proposed technique construction traditional obtain robust reduces stator current. We use in our study 1.5 MW doubly-fed generator integrated into reduce torque, current, power, ripples. Results. As shown results figures ameliorate effectiveness especially ripples, minimizes current (0.08 %) control.