TY - GEN
T1 - Speed sensorless control with neuron MRAS estimator of an induction machine
AU - Lei, Dong
AU - Dong, Yang
AU - Xiaozhong, Liao
PY - 2007
Y1 - 2007
N2 - In the high speed range, vector control of rotor flux orientation of an induction machine implements good performance. However, the performance in low speed rang deteriorates because of the inaccurate estimation of rotor flux and speed. In this paper, modified voltage model for rotor flux estimation and neuron model-reference adaptive system (MRAS) for speed estimation are used to improve the performance of speed sensorless vector control. To improve the accuracy of rotor flux estimation, the stator resistance is identified on-line. The experimental results show that the proposed scheme yields improved performance in low speed range.
AB - In the high speed range, vector control of rotor flux orientation of an induction machine implements good performance. However, the performance in low speed rang deteriorates because of the inaccurate estimation of rotor flux and speed. In this paper, modified voltage model for rotor flux estimation and neuron model-reference adaptive system (MRAS) for speed estimation are used to improve the performance of speed sensorless vector control. To improve the accuracy of rotor flux estimation, the stator resistance is identified on-line. The experimental results show that the proposed scheme yields improved performance in low speed range.
KW - Induction machine
KW - MRAS
KW - Neuron model
KW - Speed sensorless control
KW - Stator resistance identification
UR - http://www.scopus.com/inward/record.url?scp=49949087507&partnerID=8YFLogxK
U2 - 10.1109/PEDS.2007.4487850
DO - 10.1109/PEDS.2007.4487850
M3 - Conference contribution
AN - SCOPUS:49949087507
SN - 1424406455
SN - 9781424406456
T3 - Proceedings of the International Conference on Power Electronics and Drive Systems
SP - 1151
EP - 1156
BT - 7th International Conference on Power Electronics and Drive Systems, PEDS 2007
T2 - 7th International Conference on Power Electronics and Drive Systems, PEDS 2007
Y2 - 27 November 2007 through 30 November 2007
ER -