Title :
Reduced order extended Kalman filter for estimation of induction motor rotor resistance
Author :
Glielmo, L. ; Marino, P. ; Setola, R. ; Vasca, F.
Author_Institution :
Dipartimento di Inf. e Sistemistica, Napoli Univ., Italy
Abstract :
In this paper the induction motor rotor resistance is estimated by a reduced-order extended Kalman filter which, by decreasing the computational burden, allows real-time applications
Keywords :
Kalman filters; electric resistance; filtering and prediction theory; induction motors; machine control; power engineering computing; rotors; state estimation; Reduced order extended Kalman filter; computational burden; induction motor rotor resistance; real-time applications; Current measurement; DC motors; Electrical resistance measurement; Induction motors; Integrated circuit modeling; Inverters; Robust control; Rotors; Stators; Voltage;
Conference_Titel :
Decision and Control, 1993., Proceedings of the 32nd IEEE Conference on
Conference_Location :
San Antonio, TX
Print_ISBN :
0-7803-1298-8
DOI :
10.1109/CDC.1993.325377
