Title :
Comparison of two extended observers for the resistance estimation of an induction machine
Author :
Raison, B. ; Arza, J. ; Rostaing, G. ; Rognon, J.P.
Author_Institution :
Lab. d´´Electrotech. de Grenoble, ENSIEG, St. Martin d´´Heres, France
Abstract :
This paper compares two observer structures for the diagnosis of a space vector modulation fed and vector controlled induction machine. The first one is a model reference adaptive system (MRAS). The second one is the extended Kalman filter (EKF), corresponding to a stochastic approach of the modelling errors. The comparison between these two observers is made in order to compare their accuracy and performance to estimate the stator resistance. Simulation and experimental results show the effectiveness of these extended observers to monitor the drive
Keywords :
Kalman filters; electric resistance; induction motor drives; machine theory; machine vector control; model reference adaptive control systems; observers; parameter estimation; stochastic processes; drive monitoring; extended Kalman filter; extended observers; induction machine; model reference adaptive system; modelling errors; resistance estimation; space vector modulation; stochastic approach; vector control; Adaptive systems; Circuit faults; Control systems; Fault detection; Induction machines; Monitoring; Observers; Pulse width modulation inverters; Sensor systems; Stators;
Conference_Titel :
Industry Applications Conference, 2000. Conference Record of the 2000 IEEE
Conference_Location :
Rome
Print_ISBN :
0-7803-6401-5
DOI :
10.1109/IAS.2000.882056
