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.
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;
Conference_Titel :
Power Electronics, Electrical Drives, Automation and Motion, 2006. SPEEDAM 2006. International Symposium on
Conference_Location :
Taormina
Print_ISBN :
1-4244-0193-3
DOI :
10.1109/SPEEDAM.2006.1649739