An Improved Dual-Vector-Based Deadbeat MPCC for SPMSM With Quasi-Resonant Extended State Observer
Weiyang Hou, Yiru Miao, Ruizhi He, Wu Liao, Lingyan Luo, Shoudao Huang, Yuxiaoying Tu · IEEE Access · 2025
Compared to the finite control set model predictive current control (MPCC) for surface-mounted permanent magnet synchronous motor (SPMSM), dual-vector deadbeat MPCC can improve the current tracking accuracy with rarely increasing switching frequency, which can improve the efficiency and performance of SPMSM drive system. However, the voltage error between the reference and synthesizing vectors cannot be eliminated, leading to current harmonic and torque ripple. To improve the control performance for SPMSM, the MPCC scheme with quasi-resonant extended state observer (ESO) is proposed in this paper. First, the mathematical expression of voltage error caused by dual-vector modulation is derived, and its harmonic characteristic is obtained. Then, the transfer functions of MPCC are derived, and the impact of DC and periodic voltage disturbances on speed and current is analyzed. To reduce the current harmonic caused by periodic voltage disturbance, a quasi-resonant ESO is introduced into the MPCC system, its mathematical model and the influence of parameters on stability and dynamic performance are presented. Finally, the feasibility and effectiveness of the proposed dual-vector deadbeat MPCC scheme with quasi-resonant ESO are verified by the experimental results, compared with two existing improved dual-vector MPCC schemes, the best steady-state performance can be obtained with minimum computation burden and no affection of the dynamic performance.