New model predictive current control of permanent magnet synchronous motor
To reduce the computation and complexity of traditional multi-vector model predictive current control(MPCC)algorithm and ensure good control performance,a novel multi-vector MPCC algorithm was proposed to quickly screen the second voltage vector.According to the principle of current non-differ-ential beat control,the d and q-axis current decision factors were defined by the d and q-axis current difference,which simplifies the selection process of the second voltage vector,reduces the calculation of the control chip,and maintains the advantage of low current ripple.On the basis of the new two-vector MPCC algorithm,a novel three-vector MPCC algorithm combining the d and q-axis current decision fac-tors and the effective voltage vector table to directly select the second voltage vector was proposed.Exper-imental results were presented showing that the new multi-vector MPCC algorithm maintains the control performance of the traditional multi-vector MPCC algorithm while the computation of the new two-vector MPCC algorithm is reduced by 33.96%and the computation of the new three-vector MPCC algorithm is reduced by 48.7%.
permanent magnet synchronous motormodel predictive current controlcurrent decision fac-torstwo-vectorthree-vectorcomputational complexity
万方数据
维普
