永磁同步电机并联法模型预测转矩控制

针对永磁同步电机(PMSM)模型预测转矩控制(MPTC)权重系数设计和调节的问题，采用并联法MPTC将多目标成本函数加权求和转换为单目标成本函数电压矢量集合求交集，从而消除权重系数。建立PMSM并联法MPTC，分析磁链控制电压矢量集合和转矩控制电压矢量集合中电压矢量个数对系统控制性能的影响。进一步建立考虑开关次数控制的并联法MPTC，并采用模糊控制器动态调节开关次数，控制电压矢量集合的电压矢量个数。仿真结果表明，PMSM并联法MPTC无需权重系数设计和调节。模糊并联法MPTC可根据系统实时运行状态动态调整控制目标集合电压矢量的个数，从而优化系统控制性能。

Parallel Model Predictive Torque Control for Permanent Magnet Synchronous Motor

Aiming at the the problem of designing and adjusting the weight factors of model predictive torque control (MPTC) for permanent magnet synchronous motor (PMSM), the parallel MPTC is used to intersect voltage vector sets for single-object cost function instead of weighted summing of multi-object cost function, thus eliminating the weight factors. The parallel MPTC for PMSM is built, and the effects of the number of voltage vectors in flux control voltage vector sets and torque control voltage vector sets on the system control performance are studied. The parallel MPTC with the switching times control is further established, and the fuzzy controller is used to dynamically adjust the switching times to control the number of voltage vectors in voltage vector sets. The simulation results show parallel MPTC for PMSM does not require weight factors design and adjustment. The fuzzy parallel MPTC can dynamically adjust the number of voltage vectors in control object sets according to the real time operation state of the system, so as to optimize the system control performances.