Title :
Adaptive flux and speed estimation for induction motors
Author :
Zheng, Yuhong ; Loparo, Kenneth A.
Author_Institution :
LucasVarity Autom., Livonia, MI, USA
Abstract :
An adaptive estimator for rotor resistance to simultaneously estimate fluxes and rotor speed for an induction motor is designed with the assumption that only stator currents are measurable. The basic idea is to build up a stable adaptive observer and treat rotor speed and rotor resistance as slowly varying unknown parameters in the framework of MRAS. The persistent excitation condition is proven satisfied, which guarantees that the estimated fluxes and rotor speed converge to their true values
Keywords :
adaptive estimation; electric current measurement; induction motors; machine vector control; model reference adaptive control systems; state estimation; MRAS; adaptive estimator; flux estimation; model reference adaptive system; persistent excitation condition; rotor resistance; slowly varying unknown parameters; speed estimation; stable adaptive observer; stator currents; Circuits; Convergence; Current measurement; Electrical resistance measurement; Induction motors; Mechanical sensors; Rotors; State estimation; Stators; Velocity measurement;
Conference_Titel :
American Control Conference, 1999. Proceedings of the 1999
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-4990-3
DOI :
10.1109/ACC.1999.786508
