中国电机工程学报2021，Vol.41Issue(6)：1946-1959,前插4,15.DOI:10.13334/j.0258-8013.pcsee.200644
轴向磁通切换永磁电机双矢量合成模型预测磁链控制
Two-vector Synthetic Model Predictive Flux Control of an Axial Field Flux-switching Permanent Magnet Machine
摘要
Abstract
A two-vector synthetic model predictive flux control (TVS-MPFC) with flux vector tracking error minimization was proposed in this paper to reduce the ripples of torque and stator flux of axial field flux-switching permanent magnet machine (AFFSPMM). The equivalent cost function of TVS-MPFC was first derived to eliminate the weighting factor in the cost function of traditional model predictive torque control (MPTC). The reference voltage vector was then estimated on the basis of deadbeat control. A control method with two voltage vectors was subsequently applied during a control cycle to improve the stability of the control system. The first voltage vector was directly chosen as an active vector, whereas the second voltage vector was selected between active and zero vectors. Finally, the duty ratios of the selected voltage vectors were determined on the basis of the principle of flux vector tracking error minimization. The correctness and effectiveness of the proposed control strategy were verified by simulation and experiment. The results show that the proposed TVS-MPFC improves the steady-state performances of AFFSPMM control system compared with traditional MPTC and DB-MPFC, especially at low and very low speed operation.关键词
模型预测磁链控制/轴向磁场磁通切换永磁电机/转矩脉动抑制/双矢量合成/磁链矢量跟踪误差最小化Key words
model predictive flux control/axial field flux-switching permanent magnet machine/torque ripple reduction/two-vector synthetic/flux vector tracking error minimization分类
信息技术与安全科学引用本文复制引用
张蔚,翟良冠,梁惺彦,袁晓强..轴向磁通切换永磁电机双矢量合成模型预测磁链控制[J].中国电机工程学报,2021,41(6):1946-1959,前插4,15.基金项目
国家自然科学基金项目(51507087) （51507087）
江苏省六大人才高峰项目(03220038) （03220038）
南通市科技项目(MS22019017).Project Supported by National Natural Science Foundation of China(51507087) （MS22019017）
Six Talent Peaks Project of Jiangsu Province(03220038) （03220038）
Science and Technology Project of Nantong(MS22019017). （MS22019017）
