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

• Published in: Electronics letters Vol. 60; no. 11
• Main Authors: Yang, Ge, Weizhang, Song, Wheeler, Patrick, Yang, Yang
• Format: Journal Article
• Language: English
• Published: Wiley 01.06.2024
• Subjects: AC motor drives; parameter estimation; permanent magnet motors
• ISSN: 0013-5194; 1350-911X
• DOI: 10.1049/ell2.13233

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. This letter investigates the apparent inductance online identification method for permanent magnet synchronous motor sensorless control. In this method, an asymmetric high‐frequency square wave injection method and an adaptive minimum adjustment algorithm for apparent inductance identification is proposed.