A Sliding Mode Prediction Error Compensation of Incremental Model-Based Deadbeat Predictive Current Control for SPMSM Drives With a Sliding Mode Speed Controller

Due to high power density and excellent efficiency, permanent-magnet synchronous motors (PMSMs) provide extremely competitive technology for the driving applications of transportation electrification. Among the various advanced control strategies for PMSMs, deadbeat predictive current control (DPCC) has the advantages of fast dynamic response and remarkable steady-state current tracking performance. However, DPCC is heavily dependent on the accuracy of motor parameters (resistance, inductance, and flux linkage). To alleviate the effect of parameter mismatch and maintain the advantages of conventional DPCC, this article proposes a sliding mode prediction error compensation (SM-PEC) method of DPCC. First, a composite reaching law (CRL) is proposed to accelerate the convergence while suppressing the chattering. Then, an incremental prediction model of PMSM is developed, and the parameter sensitivity is analyzed. Combined with this model, a CRL-based SM-PEC method is proposed to eliminate the current tracking error, enhance the robustness, maintain the excellent dynamic performance of DPCC, and avoid dependence on observers. Moreover, a CRL-based sliding mode speed controller (SMSC) is designed to improve the performance of the speed regulation system. Finally, comprehensive experiments are implemented on a 1.6-kW PMSM experimental platform, and the results verify the effectiveness of the proposed control methods.