Model prediction control method and device for twelve-phase driving system

The invention discloses a model prediction control method and device for a twelve-phase driving system. The method comprises the following steps: all possible switch state information of the twelve-phase driving system is simplified to obtain final switch state information; a converter output current value, a DC voltage value, a rotation speed and a rotor position at a k moment are acquired respectively; a prediction model at the k moment is constructed based on a space vector decoupling model of a twelve-phase motor, and through the prediction model, a predicted current value at a (k+2) moment is predicted; and an objective function is constructed, the current values and the predicted current values of four sub-planes are substituted into the objective function, the switch state corresponding to the minimum objective function in the final switch state information is selected to obtain driving signals of each bridge arm at a (k+1) moment. The method reduces selection of two weight coefficients, the model pred