永磁同步电机鲁棒有限集模型预测电流控制算法

在永磁同步电机(PMSM)驱动系统中,基于有限集模型预测电流控制(FCS-MPCC)算法所设计的系统电流内环控制器,性能受电机参数变化的影响。推导了PMSM预测模型,同时以电压矢量为约束项重构价值函数,并针对数字延时导致的电流纹波问题进行了补偿。提出了一种鲁棒性较强的FCS-MPCC算法,通过在预测模型中引入权重系数并定量调节,以降低算法对参数的敏感性。仿真结果表明,所提算法有效,能使系统具备良好的动态性能和稳态精度。

Robust Finite Control Set Model Predictive Current Control Algorithm for Permanent Magnet Synchronous Motor

In the permanent magnet synchronous motor (PMSM) drive system, the system current inner loop controller based on the finite control set model predictive current control (FCS-MPCC) algorithm is affected by the variation of motor parameters. The prediction model of PMSM is derived. The cost function is reconstructed with the voltage vector as the constraint, and the current ripple problem caused by the digital delay is compensated. A robust FCS-MPCC algorithm is proposed, which reduces the sensitivity of the algorithm to the parameters by introducing weight coefficients and quantitative adjustments in the prediction model. The simulation results show that the proposed algorithm is effective and can make the system have good dynamic performance and steady state accuracy.