Title :
An adaptive intelligent controller for rotor resistance variations in DFIG system
Author :
Valikhani, M. ; Sourkounis, C.
Author_Institution :
Power Syst. Technol. & Power Mechatron., Ruhr-Univ. Bochum, Bochum, Germany
Abstract :
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.
Keywords :
PI control; adaptive control; asynchronous generators; intelligent control; machine vector control; power control; rotors; BELBIC; DFIG system; PI-based vector controlled wind driven system; adaptive intelligent controller; adaptive power control method; brain emotional learning-based intelligent controller; decoupled q-d rotor current components; doubly fed induction generator; proportional-integral control; rotor resistance variations; stator flux oriented vector control method; Control systems; Mathematical model; Reactive power; Resistance; Rotors; Stators; Vectors; Adaptive Control; Brain Emotional Learning Based Intelligent Controller (BELBIC); Doubly Fed Induction Generator (DFIG); PI controller; Soft Control; Vector Control;
Conference_Titel :
Control and Automation (MED), 2014 22nd Mediterranean Conference of
Conference_Location :
Palermo
Print_ISBN :
978-1-4799-5900-6
DOI :
10.1109/MED.2014.6961485
