Sensorless Control Under Parameter Identification of Permanent Magnet Synchronous Motor for Electric Aircraft

This paper proposes a sensorless control and parameter identification method based on model reference adaptive system (MRAS) for aircraft applications, aiming to address the performance degradation of permanent magnet synchronous motor (PMSM) in electric aircraft caused by parameter disturbances and inverter nonlinearities. First, an extended state observer (ESO) is introduced as an adjustable model to replace the traditional stator current equation, aiming to improve current observation accuracy and enhance the effectiveness of parameter identification and sensorless control. Second, to address the rank deficiency problem in multi‐parameter identification, a cascaded MRAS method is used for accurate identification of multiple parameters. This method successfully identifies resistance, inductance, flux and speed. Finally, simulations and experiments were conducted on a 1‐kW motor platform to verify the effectiveness of the proposed method under parameter mismatch conditions. This provides both theoretical and practical support for the high‐precision parameter identification and control of PMSMs in the electric aviation environment.