Using the Stator Current Ripple Model for Real-Time Estimation of Full Parameters of a Permanent Magnet Synchronous Motor

被引：24

作者：

Choi, Kyunghwan ^{[1
]}

Kim, Yonghun ^{[1
]}

Kim, Kyung-Soo ^{[1
]}

Kim, Seok-Kyoon ^{[2
]}

机构：

[1] Korea Adv Inst Sci & Technol, Dept Mech Engn, Daejeon 34141, South Korea

[2] Hanbat Natl Univ, Dept Creat Convergence Engn, Daejeon 34158, South Korea

来源：

IEEE ACCESS | 2019年 / 7卷

关键词：

Permanent magnet synchronous motor (PMSM); rank deficiency; real-time parameter estimation; stator current ripple; ONLINE MULTIPARAMETER ESTIMATION; SENSORLESS PMSM DRIVE; MACHINE PARAMETERS; KALMAN-FILTER; FLUX; IDENTIFICATION; RESISTANCE; SPEED;

D O I：

10.1109/ACCESS.2019.2904228

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, a new method is proposed for the real-time estimation of the full parameters of a permanent magnet synchronous motor (PMSM) that is based on the stator current ripple model. By introducing the stator current ripple model together with the known two state equations for the d- and q-axes currents, we resolve the rank deficiency problem, thus enabling real-time full parameter estimation even in the steady state. A signal processing technique for removing adverse effects from noises and uncertainties existing in the stator current ripple measurement is also presented. The efficacy of the proposed method is verified by simulation on a 15-kW PMSM, and both the proposed and conventional methods are compared.

引用

页码：33369 / 33379

页数：11

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