电机与控制应用2026，Vol.53Issue(5)：456-464,9.DOI:10.12177/emca.2026.156
基于临近电流变化预测模型的永磁同步电机模型预测电流控制
Model Predictive Current Control for PMSM Based on Near-Current-Variation Prediction Model
摘要
Abstract
[Objective]To address the strong parameter dependence of permanent magnet synchronous motor(PMSM)model predictive current control(MPCC),this paper proposes a near-current-variation-based prediction model,which eliminates the resistance and rotor flux parameters,thereby improving the parameter robustness of PMSM MPCC.[Methods]Based on the traditional current prediction model of PMSM and near-current-variation,the predicted current value for applying the same voltage vector Vn as the previous moment was first calculated.Then,using this as a reference value,the predicted values for applying other voltage vectors were derived,thereby establishing a near-current-variation-based prediction model.Finally,through simulations and experiments,the performance of PMSM MPCC based on the traditional current prediction model,incremental current prediction model,and near-current-variation prediction model was compared.[Results]The simulation and experimental results demonstrated that the proposed near-current-variation prediction model did not require stator resistance or rotor flux linkage parameters,and its control performance was comparable to that of both the traditional and incremental current prediction models.Moreover,the optimal voltage vector selections of the three models were consistent.The proposed model relied solely on the stator d,q-axis inductance,significantly reducing parameter dependency while maintaining stable system operation.[Conclusion]The proposed model provides a more simplified solution for PMSM MPCC.关键词
永磁同步电机/模型预测电流控制/临近电流变化预测模型/参数鲁棒性Key words
permanent magnet synchronous motor/model predictive current control/near-current-variation prediction model/parameter robustness分类
信息技术与安全科学引用本文复制引用
李耀华,王钦政,王自臣,高赛,郭伟超,种国臣,吴步昊..基于临近电流变化预测模型的永磁同步电机模型预测电流控制[J].电机与控制应用,2026,53(5):456-464,9.基金项目
青海职业技术大学青海省高原汽车电动化与智能化技术重点实验室开放基金资助(QZDSZ03-202502)Open fund of Qinghai Plateau Key Laboratory of Automotive Electrification and Intelligentization Technology(QZDSZ03-202502) （QZDSZ03-202502）
