DocumentCode
3323248
Title
PI and fuzzy estimators for on-line tracking of rotor resistance of indirect vector controlled induction motor drive
Author
Karanayil, B. ; Rahman, M.F. ; Grantham, C.
Author_Institution
Sch. of Electr. Eng. & Telecommun., New South Wales Univ., Sydney, NSW, Australia
fYear
2001
fDate
2001
Firstpage
820
Lastpage
825
Abstract
This paper presents two methods of estimation of the rotor resistance in the indirect vector controlled induction motor drive. A model reference adaptive scheme is proposed in which the adaptation mechanism is executed using a PI controller and a fuzzy logic. The performance of both estimators and torque and flux responses of the drive are investigated with simulations for variations in the rotor resistance values from their nominal values. When either of the estimators are added to the drive system, the drive system performance does not deteriorate with the variation of the rotor resistance. The two estimation algorithms are designed, one with a PI controller and the other with fuzzy logic. The effectiveness of both algorithms is demonstrated with simulations
Keywords
control system analysis; control system synthesis; fuzzy control; induction motor drives; machine theory; machine vector control; model reference adaptive control systems; parameter estimation; rotors; two-term control; PI controller; PI estimators; adaptation mechanism; control design; control simulation; estimation algorithms; fuzzy estimators; fuzzy logic; indirect vector controlled induction motor drive; model reference adaptive scheme; rotor resistance online tracking; Equations; Fuzzy control; Fuzzy logic; Induction motor drives; Induction motors; Rotors; Stators; Telecommunication control; Torque; Voltage;
fLanguage
English
Publisher
ieee
Conference_Titel
Electric Machines and Drives Conference, 2001. IEMDC 2001. IEEE International
Conference_Location
Cambridge, MA
Print_ISBN
0-7803-7091-0
Type
conf
DOI
10.1109/IEMDC.2001.939414
Filename
939414
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