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Model Predictive Thrust Force Control of a Linear Flux-Switching Permanent Magnet Machine with Voltage Vectors Selection and Synthesis
IEEE Transactions on Industrial Electronics ( IF 7.7 ) Pub Date : 2019-06-01 , DOI: 10.1109/tie.2018.2835381
Wentao Huang , Wei Hua , Fangbo Yin , Feng Yu , Ji Qi

To reduce the thrust force ripple of a complementary and modular linear flux-switching permanent magnet machine, a model predictive thrust force control (MPTFC) is developed and implemented in this paper based on the active voltage vectors selection (AVVS) and two-voltage-vector synthesis (TVVS). First, the active voltage vectors are screened and assigned to the specific sector, instead of traversing all the possible vectors, and consequently, significantly decrease prediction workload. Second, for the elimination of the weighting factor in the conventional MPTFC, the control object is transformed from the thrust force and stator flux to the stator flux only by using the load angle. Third, to achieve the steady-state performance improvement, the TVVS approach is applied in each control period, where the optimal TVVS and its dwell time are simultaneously obtained by only one cost function. Both simulated and experimental results verify that the steady-state performance improvement can be realized by the developed MPTFC through comparing with normal hysteresis current control and conventional MPTFC strategies.

中文翻译:

具有电压矢量选择和合成的线性磁通开关永磁电机的模型预测推力控制

为了减少互补和模块化线性磁通开关永磁电机的推力纹波,本文基于有源电压矢量选择 (AVVS) 和双电压控制开发并实现了模型预测推力控制 (MPTFC)。载体合成 (TVVS)。首先,有效电压向量被筛选并分配到特定扇区,而不是遍历所有可能的向量,从而显着减少预测工作量。其次,为了消除传统MPTFC中的权重因子,仅利用负载角将控制对象从推力和定子磁链转换为定子磁链。第三,为了达到稳态性能的提升,在每个控制期应用 TVVS 方法,其中最优 TVVS 及其停留时间仅通过一个成本函数同时获得。仿真和实验结果均验证了通过与正常滞后电流控制和常规 MPTFC 策略相比,开发的 MPTFC 可以实现稳态性能改进。
更新日期:2019-06-01
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