Novel Analytical Weighting Factor Tuning Strategy Based on State Normalization and Variable Sensitivity Balance for PMSM FCS-MPTC

This article innovatively proposes a numerical weighting factor handling strategy for the permanent magnet synchronous machine finite control set (FCS) model predictive torque control (MPTC) method based on state normalization (SN) and variable sensitivity balance. First, both the static and dynamic reasons as to why the weighting factors in relation to the flux and torque are essential for an FCS-MPTC controller are analyzed at length. Then, in order to eliminate the differences between the static properties of the two targeting variables, an SN scheme is applied to the control system. Finally, aiming at the imparities of the dynamic characteristics between the flux and torque, the weighting factors are tuned based on the variable sensitivity to voltage variations balance principle. The simulation and experimental results prove that the proposed weighting factor tuning technique is effective.