Parameter identification of surface mount permanent magnet synchronous motor based on recursive least square method

Under large interference, in order to keep the surface-mounted permanent magnet synchronous motor with better operating characteristics, real-time identification of the parameters such as resistance, inductance and flux linkage during motor operation becomes very necessary. This paper proposes an online self-applicable identification method for motor parameters based on recursive least squares method. The parameter identification model is analyzed in Matlab / Simulink, which proves that the method can accurately identify the values of resistance, inductance and flux linkage parameters. It also proves the value of this method.