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

• Published in: IEEE access Vol. 7; pp. 33369 - 33379
• Main Authors: Choi, Kyunghwan, Kim, Yonghun, Kim, Kyung-Soo, Kim, Seok-Kyoon
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2019; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Current measurement; Equations of state; Estimation; Mathematical model; Mathematical models; Parameter estimation; Permanent magnet synchronous motor (PMSM); Permanent magnets; rank deficiency; Real time; real-time parameter estimation; Ripples; Signal processing; stator current ripple; Stator windings; Stators; Switches; Synchronous motors
• ISSN: 2169-3536; 2169-3536
• DOI: 10.1109/ACCESS.2019.2904228

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 <inline-formula> <tex-math notation="LaTeX">d </tex-math></inline-formula>- and <inline-formula> <tex-math notation="LaTeX">q </tex-math></inline-formula>-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.