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http://dx.doi.org/10.6113/TKPE.2018.23.1.66

Online Parameter Estimation of SPMSM using Affine Projection Algorithm  

Moon, Byung-Hun (Dept. of Electronics Engineering, Pusan National Univ.)
Kim, Hyoung-Woo (Dept. of Electronics Engineering, Pusan National Univ.)
Choi, Joon-Young (Dept. of Electronics Engineering, Pusan National Univ.)
Publication Information
The Transactions of the Korean Institute of Power Electronics / v.23, no.1, 2018 , pp. 66-71 More about this Journal
Abstract
We propose an online parameter estimation method for surface-mounted permanent-magnet synchronous motor (SPMSM) using an affine projection algorithm (APA). The proposed method estimates parameters with two APAs based on the discrete-time model equation of SPMSM during motor operation. The first APA is designed to estimate inductance, and the second APA is designed to estimate resistance and flux linkage. However, in case when the d-axis current is controlled to 0A, the second APA cannot estimate resistance and flux linkage simultaneously because the matrix rank in APA becomes deficient. To overcome this problem, we temporarily inject a negative reference current input to the d-axis control loop, and the matrix in the APA then becomes full rank, which enables the simultaneous estimation of resistance and flux linkage. The proposed method is verified by PSIM simulation and an actual experiment, and the results reveal that SPMSM parameters can be estimated online during motor operation.
Keywords
APA(Affine Projection Algorithm); Online parameter estimation; PI control; SPMSM(Surface-mounted Permanent-Magnet Synchronous Motor);
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