Research on predictive control strategy of PMSM model based on torque change rate

This paper proposes a PMSM model predictive torque control strategy based on torque change rate to address the issues of difficult determination of weight factors and low efficiency of control algorithm traversal optimization in traditional PMSM finite set model predictive torque control (FCS-MPTC). Firstly, the tracking error of the electromagnetic torque at the current moment is used to determine the rate of change of the electromagnetic torque at the next moment. Secondly, the influence of the basic voltage vector on the electromagnetic torque can be analyzed to quickly determine the range of voltage selection. By constructing a cascaded cost function structure, the weight factor between torque and flux can be eliminated. Finally, a model was built in MATLAB/Simulink for simulation, and the simulation results showed that the proposed control strategy had high optimization efficiency and did not require the participation of weight factors.