TY - JOUR
T1 - Efficient Online PMSM Parameter Estimation Method
AU - Do, Gyeong Hun
AU - Choi, Han Ho
N1 - Publisher Copyright:
© ICROS 2022.
PY - 2022
Y1 - 2022
N2 - This paper proposes an efficient estimation method for PMSM (Permanent Magnet Synchronous Motor) parameters. We usually need to precisely estimate PMSM parameter values of the flux linkage, stator inductance, and resistance for accurate control, condition monitoring, fault diagnosis and prognosis, or others. The conventional methods to estimate the flux linkage, stator inductance, and resistance involve the manipulation of matrices of size 3 by 3 or higher dimensions, which leads to heavy computational burdens. This paper provides a simpler estimation method involving 2-by-2 matrix manipulations. Using the estimated PMSM parameter values of the flux linkage, stator inductance, and resistance, we design an adaptive PI-type PMSM controller. Through numerical comparative simulations, this paper verifies the practicality and efficiency of the proposed method.
AB - This paper proposes an efficient estimation method for PMSM (Permanent Magnet Synchronous Motor) parameters. We usually need to precisely estimate PMSM parameter values of the flux linkage, stator inductance, and resistance for accurate control, condition monitoring, fault diagnosis and prognosis, or others. The conventional methods to estimate the flux linkage, stator inductance, and resistance involve the manipulation of matrices of size 3 by 3 or higher dimensions, which leads to heavy computational burdens. This paper provides a simpler estimation method involving 2-by-2 matrix manipulations. Using the estimated PMSM parameter values of the flux linkage, stator inductance, and resistance, we design an adaptive PI-type PMSM controller. Through numerical comparative simulations, this paper verifies the practicality and efficiency of the proposed method.
KW - control system
KW - flux linkage
KW - parameter estimation
KW - PMSM
KW - stator inductance
KW - stator resistance
UR - http://www.scopus.com/inward/record.url?scp=85143590650&partnerID=8YFLogxK
U2 - 10.5302/J.ICROS.2022.22.0191
DO - 10.5302/J.ICROS.2022.22.0191
M3 - Article
AN - SCOPUS:85143590650
SN - 1976-5622
VL - 28
SP - 1121
EP - 1126
JO - Journal of Institute of Control, Robotics and Systems
JF - Journal of Institute of Control, Robotics and Systems
IS - 12
ER -