DocumentCode
3262523
Title
Robust IM exponential reaching law sensorless control with MRAS-based online parameters identification
Author
Legrioui, S. ; Rezgui, S.E. ; Benalla, H.
Author_Institution
Electrotechnic Dept., Univ. of Constantine 1, Constantine, Algeria
fYear
2015
fDate
10-13 June 2015
Firstpage
790
Lastpage
795
Abstract
Lot of works dealt with the robustness of the indirect rotor flux oriented control (IRFOC), however variation of electrical parameters of induction motor (IM), due mainly to the external condition like warming, cause the major problem of this techniques. In this work, we investigate and introduce a method called exponential reaching law (ERL) technique in the sliding mode controller to improve the control performance and remedy to the boring chattering phenomena. So the suppression of the chattering and the increasing of the reaching speed to the sliding surface is our first aim. As well, to get an adaptive sensorless scheme, a three classical proportional-integral controllers (PI) are included in the adaptation mechanism of the model reference adaptive system (MRAS) to obtain a conjoint online estimation of the rotor speed, the stator resistance (RS) and the inverse of the rotor time constant (1/Tr) respectively. The proposed control technique is experimentally tested via the (RTI) blocks of Matlab/Simulink, and the dSPACE DS1104 card.
Keywords
PI control; induction motors; magnetic flux; model reference adaptive control systems; robust control; rotors; sensorless machine control; variable structure systems; IRFOC robustness; MRAS-based online parameter identification; adaptive sensorless scheme; boring chattering phenomena; chattering suppression; classical PI controller; classical proportional-integral controller; dSPACE DS1104 card; indirect rotor flux oriented control; induction motor electrical parameter variation; law sensorless control; model reference adaptive system; robust IM exponential reaching law sensorless control; rotor speed; rotor time constant inverse; sliding mode controller; stator resistance; Adaptation models; Estimation; Mathematical model; Resistance; Rotors; Stators; Torque; MRAS; exponential reaching law; online parameter estimation; sensorless vector control; sliding mode;
fLanguage
English
Publisher
ieee
Conference_Titel
Environment and Electrical Engineering (EEEIC), 2015 IEEE 15th International Conference on
Conference_Location
Rome
Print_ISBN
978-1-4799-7992-9
Type
conf
DOI
10.1109/EEEIC.2015.7165265
Filename
7165265
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