TY - GEN
T1 - Online identification of load angle compensation for anisotropy based sensorless control
AU - Landsmann, P.
AU - Paulus, D.
AU - Kennel, R.
PY - 2011
Y1 - 2011
N2 - This paper proposes an online learning method that compensates for the load dependent saliency displacement. During normal sensorless drive operation the deviation between saliency based and fundamental model based position estimation is observed and used to adapt the parameters of a compensation function over load. The theoretical derivation comprises of linear and nonlinear approximation which both are investigated by experiments. In conclusion the proposed method may discard the usual need for a position sensor during the commissioning process of a sensorless drive.
AB - This paper proposes an online learning method that compensates for the load dependent saliency displacement. During normal sensorless drive operation the deviation between saliency based and fundamental model based position estimation is observed and used to adapt the parameters of a compensation function over load. The theoretical derivation comprises of linear and nonlinear approximation which both are investigated by experiments. In conclusion the proposed method may discard the usual need for a position sensor during the commissioning process of a sensorless drive.
UR - http://www.scopus.com/inward/record.url?scp=80755176666&partnerID=8YFLogxK
U2 - 10.1109/SLED.2011.6051548
DO - 10.1109/SLED.2011.6051548
M3 - Conference contribution
AN - SCOPUS:80755176666
SN - 9781457718540
T3 - SLED 2011 - 2nd 2011 Symposium on Sensorless Control for Electrical Drives
SP - 80
EP - 84
BT - SLED 2011 - 2nd 2011 Symposium on Sensorless Control for Electrical Drives
T2 - 2nd IEEE International Symposium on Sensorless Control for Electrical Drives, SLED 2011
Y2 - 1 September 2011 through 2 September 2011
ER -