Position correction-based sensorless control with online inductance identification for SPMSMs.

Surface-mounted permanent magnet synchronous motors (SPMSMs) are widely used due to their high efficiency and high reliability. However, internal temperature increases and external load changes cause significant variations in motor parameters. Parameter deviations degrade the efficiency and stability of model-based sensorless control strategies. In this article, a position sensorless control scheme with online inductance identification is proposed, and inductance deviation is corrected by online parameter identification based on position correction. First, a sensorless observer without phase delay based on linear extended state observer (LESO) is designed under ideal conditions to estimate the rotor position and speed. Second, the coupling effect of inductance mismatch and position estimation error is analyzed. Then a steady-state position correction-based recursive total least-squares (PC-RTLS) strategy is designed to suppress deviations in inductance parameters under sensorless control. Third, the identified inductance is used to update the mathematical model. Finally, the effectiveness and feasibility of the proposed method are verified on a 400 W SPMSM test platform. [ABSTRACT FROM AUTHOR]