An adaptive intelligent controller for rotor resistance variations in DFIG system

Variation of rotor resistance in conventional PI-based vector controlled wind driven systems degrades the performance. This paper presents a novel adaptive power control method for the doubly fed induction generator (DFIG) based on the brain emotional learning-based intelligent controller (BELBIC), in which one set of conventional PI controllers are replaced with the soft BELBIC controllers. To obtain decoupled q-d rotor current components, which results indeed in a corresponding decoupled active and reactive power control, the common stator flux oriented vector control method will be utilized.