Correlation Analysis and Validation on Model Predictive Control Method and SVPWM Control Method of Asynchronous Motor

Conventional model-predictive control (MPC) achieves good steady-state performance and quick dynamic response. However, a lot of calculations are needed when deciding the best voltage and objective function selected process needs time-consuming tuning work. To solve these problems. In this paper, the objective function of predictive control is analyzed for asynchronous AC motor. By means of mathematical derivation, the predictive control is consistent with SVPWM is proved. Under certain conditions, the SVPWM method obtains the next moment of action vector is the optimal vector of predictive control. Redundant rolling model for optimization is omitted and three-vector synthesis is investigated. It is theoretically proved that predictive control does not require repeated rolling optimization.