Parameter Identification of Permanent Magnet Synchronous Motors Based on IGWO-AEKF

Authors

• Lei Yao, School of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China
• Zijian Zheng, School of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China
• Tianhao Li, School of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China
• Yulun Chi, School of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China

Abstract

The accuracy of the traditional EKF in parameter identification of the PMSM tends to be degraded under load changes or abrupt changes in internal parameters of the motor. This paper proposes an IGWO adaptive interconnected Kalman filter observer, which constructs an adaptive mechanism that combines the innovation and residuals to achieve dynamic adjustment of the process noise matrix and system noise matrix, thereby avoiding the problem of reduced parameter identification accuracy due to reliance on fixed covariance matrices under operating condition changes. A multi-parameter interconnected coupling compensation identification model for PMSM is built to mitigate the effects of measurement noise and parameter coupling on identification accuracy. A strategy for the initial covariance matrix optimized by IGWO is designed, and the Lévy flight strategy is adopted to avoid falling into local optima. Simulation experiments on PMSM with a DC voltage of 24 V verify that both fast convergence and high identification accuracy can be achieved under electrical parameter changes.

Recommended Citation

Yao, Lei; Zheng, Zijian; Li, Tianhao; and Chi, Yulun (2026) "Parameter Identification of Permanent Magnet Synchronous Motors Based on IGWO-AEKF," Journal of System Simulation: Vol. 38: Iss. 6, Article 11.
DOI: 10.16182/j.issn1004731x.joss.25-0634
Available at: https://dc-china-simulation.researchcommons.org/journal/vol38/iss6/11

First Page

1613

Last Page

1627

CLC

TM383.4; TP391

Recommended Citation

Yao Lei, Zheng Zijian, Li Tianhao, et al. Parameter Identification of Permanent Magnet Synchronous Motors Based on IGWO-AEKF[J]. Journal of System Simulation, 2026, 38(6): 1613-1627.

Corresponding Author

Chi Yulun

DOI

10.16182/j.issn1004731x.joss.25-0634