ShengYuan Ren, HongYang Xiao
This study develops a traceable RMxprt/Maxwell–Simulink workflow that links finite-element parameter verification with parameter-matched PI tuning for a surface-mounted permanent magnet synchronous motor (SPMSM). A 1.5 kW, 4-pole, 24-slot motor is first examined at the rated point, and its flux density, no-load back electromotive force, dq-axis inductance, and cogging-torque characteristics are checked. The verified control parameters, Rs=2.85 Ω, Ld=Lq=8.2 mH, ψf=0.32 Wb, and J=0.0012 kg·m², are then transferred to a discrete dq-axis vector-control model. Manual PI, parameter-matched PI, and locally optimized PI schemes are compared under the same startup, load-step, sampling, and limiting conditions. Parameter matching reduces the speed drop from 191.40 to 111.11 r/min and the recovery time from 0.01354 to 0.00766 s; local optimization further reduces them to 95.14 r/min and 0.00568 s. Parameter-perturbation tests for resistance, inductance, flux linkage, and inertia show that the matched controller preserves stronger disturbance rejection within the tested range. The proposed workflow provides a reproducible connection among motor parameters, controller gains, and closed-loop dynamic performance.