DocumentCode :
2846256
Title :
Adaptive interconnected observer for induction machine in presence of nonlinear magnetic characteristic
Author :
El Fadili, A. ; Giri, F. ; El Magri, A. ; Dugard, L. ; Haloua, M.
Author_Institution :
LAII, EMI, Rabat, Morocco
fYear :
2011
fDate :
June 29 2011-July 1 2011
Firstpage :
4916
Lastpage :
4921
Abstract :
The problem of state estimation in induction motors is considered. Generally, the motor observer design is dealt with, based on standard models ignoring the saturation effect of the magnetic characteristic. As a matter of fact, magnetic saturation cannot be ignored especially when considering (speed, torque) control strategies that involve large flux variations. Such large variations are necessary to meet optimal operation conditions in presence of wide range load torque changes. On the other hand, it is well known that the use of mechanical (speed, torque) sensors leads to reliability issues. In this paper, a new adaptive observer design is developed for induction machine, based on a model that accounts for the nonlinear feature of the magnetic circuit. The observer provides estimates of the mechanical and magnetic variables using only stator currents and voltages measurements. The observer convergence is formally analyzed and illustrated by simulation.
Keywords :
adaptive control; angular velocity control; control system synthesis; electric current control; induction motors; machine control; magnetic circuits; observers; torque control; voltage control; adaptive interconnected observer; induction machine; induction motor; magnetic circuit nonlinear feature; magnetic saturation; motor observer design; nonlinear magnetic characteristic; observer convergence; speed control strategy; state estimation; stator current; torque control strategy; voltage measurement; Induction machines; Magnetic flux; Observers; Rotors; Saturation magnetization; Stators; Torque;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference (ACC), 2011
Conference_Location :
San Francisco, CA
ISSN :
0743-1619
Print_ISBN :
978-1-4577-0080-4
Type :
conf
DOI :
10.1109/ACC.2011.5990755
Filename :
5990755
Link To Document :
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