TY - GEN
T1 - Offline inductance identification of PMSM with adaptive inverter nonlinearity compensation
AU - Wang, Gaolin
AU - Wang, Ying
AU - Qi, Jiangbo
AU - Ni, Ronggang
AU - Chen, Wei
AU - Xu, DIanguo
N1 - Publisher Copyright:
© 2015 Korean Institute of Power Electronics.
PY - 2015/7/27
Y1 - 2015/7/27
N2 - Offline inductance identification of permanent magnet synchronous motor (PMSM) is essential for self-tuning of closed-loop controller and position observer in sensorless vector controlled drives. This paper proposes an enhanced offline identification method fulfilled at standstill with adaptive inverter nonlinearity compensation for general-purpose drive applications. The d-q axis inductances can be obtained at standstill by using a voltage-source-inverter fed drive. Influences of inverter nonlinearities on direct and quadrature inductance identifications exploiting high frequency (HF) voltage injection at different rotor positions are analyzed. Then an adaptive inverter nonlinearity compensation strategy employing a simple self-learning of compensation coefficients is proposed to enhance the accuracy of inductance identification. The feasibility of the proposed adaptive offline inductance identification method is validated on a 22kW interior PMSM.
AB - Offline inductance identification of permanent magnet synchronous motor (PMSM) is essential for self-tuning of closed-loop controller and position observer in sensorless vector controlled drives. This paper proposes an enhanced offline identification method fulfilled at standstill with adaptive inverter nonlinearity compensation for general-purpose drive applications. The d-q axis inductances can be obtained at standstill by using a voltage-source-inverter fed drive. Influences of inverter nonlinearities on direct and quadrature inductance identifications exploiting high frequency (HF) voltage injection at different rotor positions are analyzed. Then an adaptive inverter nonlinearity compensation strategy employing a simple self-learning of compensation coefficients is proposed to enhance the accuracy of inductance identification. The feasibility of the proposed adaptive offline inductance identification method is validated on a 22kW interior PMSM.
KW - Adaptive compensation
KW - general-purpose drive
KW - inverter nonlinearities
KW - offline parameter identification
KW - permanent magnet synchronous motor
KW - standstill
UR - https://www.scopus.com/pages/publications/84961901454
U2 - 10.1109/ICPE.2015.7168113
DO - 10.1109/ICPE.2015.7168113
M3 - 会议稿件
AN - SCOPUS:84961901454
T3 - 9th International Conference on Power Electronics - ECCE Asia: "Green World with Power Electronics", ICPE 2015-ECCE Asia
SP - 2438
EP - 2444
BT - 9th International Conference on Power Electronics - ECCE Asia
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 9th International Conference on Power Electronics - ECCE Asia, ICPE 2015-ECCE Asia
Y2 - 1 June 2015 through 5 June 2015
ER -