Title :
On-line parameter commissioning in sensorless PMSM drives
Author :
Bolognani, S. ; Zigliotto, M. ; Unterkofler, K.
Author_Institution :
Dept. of Electr. Eng., Padova Univ., Italy
Abstract :
Sensorless drives based on extended Kalman filter (EKF) techniques are deeply studied and developed. It is acknowledged that one major weak point is their parameter sensitivity. This paper investigates the application of a recursive parameter identification (RPI) method to the online estimate of the electrical parameters of permanent magnet synchronous motors (PMSM). The availability of well-approximated values increases the robustness of the EKF, and leads thus to superior performances of the drive
Keywords :
Kalman filters; machine theory; parameter estimation; permanent magnet motors; recursive estimation; synchronous motor drives; drive performance; electrical parameters estimation; extended Kalman filter; on-line parameter commissioning; parameter sensitivity; recursive parameter identification; robustness; sensorless PMSM drives; Costs; Drives; Economic indicators; Electric variables measurement; Electrical resistance measurement; Inductance measurement; Parameter estimation; Permanent magnet motors; Phase measurement; Voltage;
Conference_Titel :
Industrial Electronics, 1997. ISIE '97., Proceedings of the IEEE International Symposium on
Conference_Location :
Guimaraes
Print_ISBN :
0-7803-3936-3
DOI :
10.1109/ISIE.1997.648995
