DocumentCode
2188916
Title
Improved adaptive feedback linearization control of induction motors based on online estimation of core loss and rotor resistance
Author
Abbasian, T. ; Salmasi, F.R. ; Yazdanpanah, M.J.
Author_Institution
Dept. of Electr. & Comput. Eng., Tehran Univ.
fYear
2006
fDate
23-26 May 2006
Firstpage
27
Lastpage
32
Abstract
In this paper, an adaptive input-output feedback linearization controller for induction motors is introduced while the core loss resistance is included in the controller equations. It is assumed that practically core loss and rotor resistances are unknown. The proposed controller includes a nonlinear observer to simultaneously estimate core loss and rotor resistance along with d-q fluxes in the stationary reference frame. After designing the proposed controller and observer, the stability of the closed loop system is analyzed based on a Lyaponuv function. This analysis along with the simulation results verify the convergence of the estimated rotor and core loss resistance, while the controller tracks the reference flux and torque, and speed
Keywords
Lyapunov methods; adaptive control; closed loop systems; control engineering computing; electric machine analysis computing; feedback; linearisation techniques; machine control; magnetic cores; nonlinear control systems; observers; rotors; Lyaponuv function; adaptive input-output feedback linearization controller; closed loop system; core loss; d-q flux; induction motors; nonlinear observer; online estimation; rotor estimation; rotor resistance; stationary reference frame; Adaptive control; Closed loop systems; Control systems; Core loss; Induction motors; Linear feedback control systems; Nonlinear equations; Programmable control; Rotors; Stability analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Power Electronics, Electrical Drives, Automation and Motion, 2006. SPEEDAM 2006. International Symposium on
Conference_Location
Taormina
Print_ISBN
1-4244-0193-3
Type
conf
DOI
10.1109/SPEEDAM.2006.1649739
Filename
1649739
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