摘要
针对传统永磁同步电机有限控制集模型预测转矩控制(FCS-MPTC)中的电流波动较大,提出了一种基于虚拟电压矢量的永磁同步电机模型预测转矩控制(VFCS-MPTC),该策略扩展了候选电压矢量控制集。与传统的FCS-MPTC相比,VFCS-MPTC在保持恒定开关频率的同时,较大降低了转矩纹波和电流谐波。采用了一种新的电压矢量优化选取策略,将候选电压矢量的数量从38个减少到9个,VFCS-MPTC在不影响控制性能的情况下显著降低了计算负担。通过仿真对比验证了VFCS-MPTC的有效性。
In view of the large current fluctuations in the traditional permanent magnet synchronous motor finite control set model predictive torque control(FCS-MPTC),a finite control set model predictive torque control method that reduces current fluctuations was proposed.The permanent magnet control set model predictive torque control method based on virtual voltage vector(VFCS-MPTC)was proposed.which expanded the set of candidate voltage vector controls.Compared with conventional FCS-MPTC,VFCS-MPTC reduced torque ripple and current harmonics while maintaining a constant switching frequency.A new voltage vector optimization selection strategy was adopted to reduce the number of candidate voltage vectors from 38 to 9.The proposed VFCS-MPTC reduced the computational burden without affecting the control performance.The effectiveness of VFCS-MPTC was verified through simulation comparison.
作者
杨狂彪
马静子
叶云翀
陈鼎新
石坚
YANG Kuangbiao;MA Jingzi;YE Yunchong;CHEN Dingxin;SHI Jian(School of Mechanical and Electrical Engineering,Guangzhou University,Guangzhou 510006,China)
出处
《微特电机》
2024年第8期48-52,57,共6页
Small & Special Electrical Machines
基金
国家自然科学基金(51507097)。
关键词
永磁同步电机
模型预测控制
虚拟电压矢量
矢量优化
降低计算负担
permanent magnet synchronous motor(PMSM)
model predictive control(MPC)
virtual voltage vector
vector optimization
reducing computational burden
