结合预测开关表的六相串联三相双PMSM系统模型预测转矩控制

Model Predictive Torque Control With Predictive Switching Table for Six-phase and Three-phase PMSM Series-connected System

现有的六相串联三相双永磁同步电机(permanent magnet synchronous motor,PMSM)系统模型预测转矩控制(model predictive torque control,MPTC)存在计算负担重、零序电流抑制效果不佳等问题,针对这些问题,该文提出一种结合预测开关表的模型预测转矩控制。为提升核心处理器的计算效率,基于直接转矩控制基本原理,构建一种预测开关表,仅预选部分基本电压矢量参与对2台PMSM的控制,减少了备选电压矢量。为有效抑制零序电流,提出一种零序电流抑制策略,全部预选的基本电压矢量被合成为零序电压等于给定的虚拟电压矢量,使得最终通过预测算法得到的最优虚拟电压矢量能够满足系统对零序电流的控制需求。实验结果验证了所提控制策略的可行性和有效性。

The existing model predictive torque control(MPTC) for six-phase and three-phase permanent magnet synchronous motor(PMSM) series-connected system has some problems, such as heavy calculation burden and poor effect of zero-sequence current suppression. To solve these problems, a MPTC with predictive switching table was proposed in this paper. In order to improve the calculation efficiency of the core processor, a predictive switching table is constructed based on the basic principle of direct torque control. Only several basic voltage vectors are preselected to participate in the control of two PMSMs, reducing the alternative voltage vectors. In order to effectively suppress the zero-sequence current, a zerosequence current suppression strategy was proposed. All the preselected basic voltage vectors were synthesized into virtual voltage vectors with zero-sequence voltage equal to given value, so that the optimal virtual voltage vector selected by the predictive algorithm could meet the control requirements of the system for zero-sequence current. Experimental results verify the feasibility and effectiveness of proposed control strategy.