机床用永磁同步电机预测电流控制方法研究

A Predictive Current Control Method for Permanent Magnet Synchronous Motor Used in Machine Tool

近年来,随着数字信号处理器和先进控制理论的发展,模型预测控制得到越来越多的关注和应用。针对数控机床用永磁同步电机常规单矢量模型预测直接电流控制方法存在电流谐波较大的问题,基于两电平电压源逆变器的基本电压矢量构造了6个虚拟电压矢量,并基于所构造的虚拟矢量建立了扩展电压矢量集。然后,设计了一种基于扩展电压矢量集的永磁同步电机预测电流控制方法。与常规的单矢量法相比,所提方法可明显降低电流的谐波,改善永磁同步电机的稳态控制性能。仿真和实验结果均验证了该方法的有效性,能够为同步电机在数控机床或相近的应用场合提供较好的理论支撑。

In recent years,with the development of digital signal processors and advanced control theories,model predictive control gets more and more attention and applications.Considering the problem of large current harmonics in the conventional single-vector based model predictive direct current control method of permanent magnet synchronous motor for machine tool,six virtual voltage vectors are constructed based on the basic voltage vectors of the two-level voltage source inverter in this paper,and an extended voltage vector set is established based on the constructed virtual voltage vectors.Then,an extended voltage vector set based model predictive direct current control method for permanent magnet synchronous motor is designed.Compared to the single-vector method,the proposed method in this paper can obviously reduce the current harmonics and improve the steady-state control performance of permanent magnet synchronous motor.Simulation and experimental results verify the effectiveness of the proposed method.