改进型永磁同步电机有限控制集模型预测速度控制

永磁同步电机传统有限集模型预测速度控制策略中电压矢量方向固定，可选矢量范围具有一定局限性，输出电压的突然变化，会导致电流纹波较大。因此，提出了一种基于电压细分的有限控制集模型预测控制(FCS-MPC)直接速度控制策略。所提策略在FCS-MPC方案中引入了一组具有可调振幅和可移动原点特征的有限电压细分矢量作为候选电压，同时为了获得更准确的电流预测，使用了双线性变换(即Tustin变换)积分近似。该控制器能够预测未来电流和速度，并使用脉宽调制输出最佳细分电压。采用两电平三相逆变器驱动的永磁同步电机进行仿真验证结果表明，与传统的FCS-MPC方案相比，所提策略有效地减小了电流纹波，拓宽了电压矢量选择的范围，同时提高了电机鲁棒性。

Improved Finite Control Set Model Predictive Speed Control for Permanent Magnet Synchronous Motor

In the traditional finite set model predictive speed control strategy of permanent magnet synchronous motor, the direction of voltage vector is fixed, the range of optional vector is limited, and the sudden change of output voltage leads to large current ripple. Therefore, a direct speed control strategy of finite control set model predictive control (FCS-MPC) based on voltage subdivision is proposed. In the proposed concept, a group of finite voltage subdivision vectors with adjustable amplitude and movable origin are introduced into FCS-MPC scheme as candidate voltages, and bilinear transform (Tustin transform) integral approximation is used to obtain more accurate current prediction. The controller could predict the future current and speed, and uses pulse width modulation to output the optimal subdivision voltage. The simulation results of permanent magnet synchronous motor driven by two-level three-phase inverter show that compared with the traditional FCS-MPC scheme, this method effectively reduces the current ripple, broades the range of voltage vector selection and improves the robustness of the motor.