Title :
An adaptive feedback linearization control for induction motor
Author :
Gastaldini, Cristiane Cauduro ; Vieira, Rodrigo Padilha ; Azzolin, Rodrigo Zelir ; Gründling, Hilton Abílio
Author_Institution :
Power Electron. Res. Group - GEPOC, Fed. Univ. of Santa Maria - UFSM, Santa Maria, Brazil
Abstract :
An adaptive state feedback linearizing control (AFLC) is designed for a fifth order model of a three-phase induction motor which includes both electrical and mechanical dynamics. The control algorithm contains an adaptive scheme of feedback linearization control (FLC) to improve robustness against of model parameters variation of induction motor servomechanism. In order to provide an estimated rotor speed for the control system, a model reference adaptive system (MRAS) algorithm based on reactive power was applied. This estimation passes through a Kalman filter, which is also used for the torque estimation. Experimental results are provided to evaluate control schemes performance comparing AFLC scheme with FLC control scheme.
Keywords :
Kalman filters; adaptive control; control system analysis; induction motors; linearisation techniques; machine control; Kalman filter; adaptive feedback linearization control; adaptive state feedback linearizing control; control algorithm; electrical dynamics; fifth order model; mechanical dynamics; model reference adaptive system; reactive power; three phase induction motor; torque estimation; Adaptation model; Adaptive control; Induction motors; Kalman filters; Rotors; Stators; Torque; Adaptive control; Feedback systems; Induction motors; Nonlinear systems; Speed control; Torque Control;
Conference_Titel :
Electrical Machines (ICEM), 2010 XIX International Conference on
Conference_Location :
Rome
Print_ISBN :
978-1-4244-4174-7
Electronic_ISBN :
978-1-4244-4175-4
DOI :
10.1109/ICELMACH.2010.5608039
