A Model-based Deadbeat Control with High Frequency Disturbance Suppression

Scholars have employed methods such as parameter identification and the incorporation of observers to enhance robustness of deadbeat current predictive control (DPCC). However, parameter identification is unable to counteract external disturbances, while observers can only compensate for steady-state errors, exhibiting limited effectiveness against high-frequency disturbances arising from inductance mismatch and dead-time effects, and often with complex design. To address these limitations, this paper proposed a model-based method with high frequency suppression (MB-HFS) which incorporates a resonant controller into the model-based framework to suppress Odd-order harmonics, and injects a high-frequency current into the d-axis for inductance tuning. Simulation results verify that the proposed approach achieves simultaneous suppression of both steady-state errors and high-frequency disturbances on SPMSM.