【摘要】 目前双三相永磁同步电机（PMSM）多矢量模型预测电流控制（MPCC）方法通常在选择最优矢量后进行占空比分配，导致合成电压矢量不一定是全局最优，而进行占空比分配后再选择最优矢量会导致计算负担大的问题。对此，本文提出了一种无差拍电压预测下的全局优化多矢量控制方法，通过结合无差拍预测方法计算电压参考矢量并将占空比分配结果代入价值函数，从而提高预测精度并降低计算量。由于模型准确性影响模型预测精度，本文基于迭代思想利用相邻两个预测周期之差得到增量式预测方程，消除预测方程磁链项，提高了磁链鲁棒性。最后通过实验验证了所提方法与传统方法对比q轴电流脉动降低49.57%,d轴脉动降低7.7%，相电流总谐波畸变率（THD）降低49%，并且在磁链失配情况下q轴电流能准确跟踪给定值。更多还原

【Abstract】 Current multi-vector model predictive current control(MPCC) methods for dual three-phase permanent magnet synchronous motor(PMSM) typically perform duty cycle allocation after selecting the optimal voltage vector,which may result in a synthesized voltage vector that is not globally optimal.Conversely,performing duty cycle allocation before vector selection leads to excessive computational burden. To address this issue,this paper proposes a global optimization-based multi-vector control method using deadbeat voltage prediction.The approach integrates deadbeat prediction to compute the reference voltage vector and incorporates duty cycle allocation results into the cost function,thereby improving prediction accuracy while reducing computational complexity. Since model accuracy significantly impacts the performance of model predictive control,an incremental prediction equation is derived based on an iterative formulation by utilizing the difference between two consecutive prediction cycles.This eliminates the flux linkage term in the prediction equation,enhancing robustness against flux linkage mismatches.Experimental results demonstrate that,compared to conventional methods,the proposed approach reduces q-axis current ripple by 49.57%,d-axis current ripple by 7.7%,and phase current total harmonics distortion(THD) by 49%.Moreover,it ensures accurate q-axis current tracking under flux linkage mismatch conditions.更多还原