An apparent inductance online identification for sensorless control of permanent magnet synchronous motor

Yang, Ge; Weizhang, Song; Wheeler, Patrick; Yang, Yang

Abstract

The model‐based sensorless control of permanent magnet synchronous motor (PMSM) relies on the motor parameters. In practice, the considerable uncertainty of inductance and the difference between the apparent inductance and the incremental inductance exists. To overcome it, an online apparent inductance identification method for PMSM sensorless control is proposed. First, an initial incremental inductance table (IIT) is obtained offline. Then, an asymmetric high‐frequency square wave injection method is proposed to identify the incremental inductance at the operation point, and an adaptive minimum adjustment algorithm is proposed to adjust IIT automatically. Finally, the apparent inductance is calculated using the adjusted IIT. Based on it, the complete PMSM sensorless control is designed. The experimental results indicate this method is feasible and effective.

Citation

Yang, G., Weizhang, S., Wheeler, P., & Yang, Y. (2024). An apparent inductance online identification for sensorless control of permanent magnet synchronous motor. Electronics Letters, 60(11), Article e13233. https://doi.org/10.1049/ell2.13233

• Journal Article Type: Article
• Acceptance Date: May 12, 2024
• Online Publication Date: Jun 5, 2024
• Publication Date: 2024-06
• Deposit Date: Jun 14, 2024
• Publicly Available Date: Jun 19, 2024
• Journal: Electronics Letters
• Print ISSN: 0013-5194
• Electronic ISSN: 1350-911X
• Publisher: Institution of Engineering and Technology (IET)
• Peer Reviewed: Peer Reviewed
• Volume: 60
• Issue: 11
• Article Number: e13233
• DOI: https://doi.org/10.1049/ell2.13233
• Keywords: AC motor drives, parameter estimation, permanent magnet motors
• Public URL: https://nottingham-repository.worktribe.com/output/36000601
• Publisher URL: https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/ell2.13233