基于有限集模型预测控制的无刷直流电机转矩波动抑制

Finite control set model predictive control of torque ripple reduction for BLDCM

针对无刷直流电机(BLDCM)在六脉冲驱动方式下存在较大换相转矩波动的问题,设计了一种基于有限集模型预测控制(FCS-MPC)的转矩波动抑制算法。首先,预测电机换相时非换相相电流的特征。然后,通过价值函数选择出最佳的驱动电路开关管导通状态,抑制非换相相电流的波动。实验结果为,使用本文所设计的转矩波动抑制算法时,电机在高速运行时的转矩波动偏差比为4.04%,低速运行时的转矩波动偏差比为0.88%。实验结果表明,无论电机处于高速运行还是低速运行,所设计的算法都具有良好的换相转矩波动抑制效果。

Aiming at the problem of large commutation torque ripple of brushless direct current motor(BLDCM)under six-pulse drive mode,a torque ripple suppression algorithm based on finite set model predictive control(FCS-MPC)is designed.Firstly,the characteristics of non-commutation current are predicted.Then,the value function is used to select the best switch state of driving circuit to suppress the ripple of the non-commutation current.The experimental results show that,when using the torque ripple suppression algorithm designed in this paper,the torque ripple deviation ratio of BLDCM is 4.04%at high speed and 0.88%at low speed,which means that the algorithm designed has good commutation torque ripple suppression effect whether the motor is running at high speed or low speed.