| Title |
A Novel Parameter Estimation Algorithm for Interior Permanent-Magnet Synchronous Motors |
| Authors |
Dong-Chan Lim ; Dong-Myung Lee |
| DOI |
10.6113/TKPE/2013.18.3.289 |
| Keywords |
parameter estimation; IPMSM; model reference adaptive system(MRAS) |
| Abstract |
It is important to know exact values of Interior Permanent Magnet Synchronous Motors(IPMSM)’ parameters such as stator resistance and inductance in order to have their high performance. This paper proposes a novel motor parameter(stator resistance, d&q axis inductance) estimation algorithm for IPMSM. The proposed estimation method utilizes back-EMF equations and model reference adaptive system(MRAS). The algorithm using back-EMF estimates d and q axis inductances in the constant torque region, and the stator resistance is estimated by using MRAS with the estimated inductance regardless of speed regions. The validity of the proposed algorithm is verified by simulations and experiments. |