Title :
Neuro-Fuzzy Versus Hysteresis Current Controller for a Vector Control Based Electrical Drive System
Author :
Mihai, D. ; Mihai, R.
Author_Institution :
Univ. of Craiova, Craiova
fDate :
June 29 2007-July 2 2007
Abstract :
The hysteresis current controllers of a vector control based structure for an induction motor are replaced by fuzzy logic controllers, synthesized by ANFIS method. The paper makes consideration on the tuning of such a controller and proves the unexpected ability of the neuro-fuzzy controller to operate in a commutation mode. Various operating conditions are considered, the results being analyzed comparatively with the standard vector control system. The influence of the parameters, load torque, sampling period and operating conditions are taking into account performing various simulations on model. The main goal is to reduce the torque ripple and the sensitivity of the system to the parameters variation.
Keywords :
electric current control; fuzzy control; fuzzy neural nets; induction motor drives; machine vector control; neurocontrollers; torque; ANFIS method; electrical drive system; fuzzy logic controllers; hysteresis current controller; induction motor; load torque; neurofuzzy controller; torque ripple reduction; vector control; Control system synthesis; Control systems; Fuzzy control; Fuzzy logic; Fuzzy systems; Hysteresis; Induction motors; Machine vector control; Torque; Virtual colonoscopy;
Conference_Titel :
Intelligent Engineering Systems, 2007. INES 2007. 11th International Conference on
Conference_Location :
Budapest
Print_ISBN :
1-4244-1147-5
Electronic_ISBN :
1-4244-1148-3
DOI :
10.1109/INES.2007.4283705
