Title :
A brain emotional learning-based intelligent controller (BELBIC) for DFIG system
Author :
Valikhani, M. ; Sourkounis, C.
Author_Institution :
Power Syst. Technol. & Power Mechatron. line, Ruhr-Univ. Bochum, Bochum, Germany
Abstract :
In this paper, an intelligent controller is developed resembling the computational emotional process in the mammalian brain. This controller, also called brain emotional learning-based intelligent controller (BELBIC) is then incorporated into the conventional PWM-based and hysteresis-based vector control method. For both methodologies the stator flux space vector has to be oriented to an arbitrary reference frame so that a decoupling between stator active and reactive powers is achieved.
Keywords :
brain; hysteresis; intelligent control; machine vector control; pulse width modulation; reactive power; stators; BELBIC; DFIG system; PWM-based vector control method; brain emotional learning-based intelligent controller; computational emotional process; doubly fed induction generator system; hysteresis-based vector control method; intelligent controller; mammalian brain; stator active powers; stator flux space vector; stator reactive powers; Control systems; Hysteresis; Machine vector control; Mathematical model; Reactive power; Rotors; Stators; Brain Emotional Learning Based Intelligent Controller (BELBIC); Doubly Fed Induction Generator (DFIG); Vector Control;
Conference_Titel :
Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM), 2014 International Symposium on
Conference_Location :
Ischia
DOI :
10.1109/SPEEDAM.2014.6871951