Title :
Robustness of fuzzy controller based adaptation mechanism for MRAS sensorless IM drives
Author :
Boulghasoul, Z. ; Elbacha, A. ; Elwarraki, E. ; Yousfi, D.
Author_Institution :
Electr. Syst. & Telecommun. Lab., Cadi Ayyad Univ., Marrakech, Morocco
Abstract :
This paper presents a technique of adaptation mechanism based on a fuzzy controller for speed estimation using model reference adaptive system (MRAS) approach in a direct filed oriented control. The estimated speed is used as feedback for control system. The aim of this mechanism is to improve the control and sensorless speed estimation of induction motor in high, low speed and also under a load torque vibrations. The major contributions of this mechanism are verified by simulation under Matlab/Simulink. Simulation results are presented in order to prove the performance of this mechanism.
Keywords :
fuzzy control; induction motor drives; model reference adaptive control systems; robust control; sensorless machine control; MRAS sensorless IM drive; adaptation mechanism; fuzzy controller; induction motor; load torque vibration; model reference adaptive system; sensorless speed estimation; speed estimation; Robustness; Induction motors; MRAS; adaptation mechanism; direct filed oriented control; fuzzy controller; speed sensorless;
Conference_Titel :
Electrical Machines (ICEM), 2010 XIX International Conference on
Conference_Location :
Rome
Print_ISBN :
978-1-4244-4174-7
Electronic_ISBN :
978-1-4244-4175-4
DOI :
10.1109/ICELMACH.2010.5607979
