Title :
MRAS sensorless based control of IM combining sliding-mode, SVPWM, and Luenberger observer
Author :
Rezgui, S.E. ; Benalla, H.
Author_Institution :
Constantine Electrotechnics Lab., Mentouri Univ., Constantine, Algeria
Abstract :
This paper present a new control strategy in variable speed drives for induction motor (IM) who´s aimed at improving the indirect rotor field oriented control (IRFOC), which is well known sensitive to internal and external uncertainties. The control principle is based on sliding-mode control (SMC) combined with space vector modulation technique (SVPWM). The SMC contributes to the robustness and good dynamics of induction motor drives, and the space vector modulation improves the torque and current steady-state performance by reducing the ripples. To obtain accurate velocity estimation and remove all sensors, the method of adaptive system with reference model (MRAS) and a Luenberger observer have been used to get the signals of speed and load torque, respectively. The performances of the proposed control method are tested in Matlab/Simulink.
Keywords :
adaptive control; induction motors; observers; rotors; sensorless machine control; variable structure systems; IM combining sliding-mode; IRFOC; Luenberger observer; MRAS; MRAS sensorless based control; Matlab/Simulink; SMC; SVPWM; external uncertainties; indirect rotor field oriented control; induction motor; internal uncertainties; method of adaptive system with reference model; sliding-mode control; space vector modulation technique; variable speed drives; velocity estimation; Adaptation model; Induction motors; Observers; Reactive power; Rotors; Stators; Torque; Luenberger observer; field oriented control; induction motor; model reference adaptive system; sliding mode control; space vector modulation;
Conference_Titel :
EUROCON - International Conference on Computer as a Tool (EUROCON), 2011 IEEE
Conference_Location :
Lisbon
Print_ISBN :
978-1-4244-7486-8
DOI :
10.1109/EUROCON.2011.5929256