Abstract
In permanent magnet synchronous motor (PMSM) control system, the inner current loop determines the transient and steady performance of the system. Therefore, predictive current control with excellent transient performance has been widely concerned. The dynamic and static performance of PMSM predictive control is closely related to the parameters of motor, but the existing parameter measurement methods have some shortcomings. Experimental method is a direct and effective method to obtain the inductance and resistance of motor. The method calculates the motor parameters based on the experimental results through the corresponding experiments on the target object. Aiming at the problems of current static error and oscillation caused by inaccurate given motor parameters in deadbeat predictive current control (DPCC), this paper proposes an experimental measurement method of PMSM parameters based on 2 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">5</sup> pseudo-random signal coding. This method can accurately measure the inductance and resistance of PMSM, and effectively avoid the current static error and oscillation caused by parameter disturbance deviation, so as to improve the dynamic and static performance of PMSM. The simulation results verify the effectiveness of the measurement method.
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