Non-cascaded Predictive Speed Synchronous Control of Dual Permanent Magnet Motor System without Weight Coefficient Tuning

In order to improve the synchronous tracking accuracy of the dual permanent magnet motor system, this paper proposes a control strategy for dual permanent magnet motor system based on finite control set. Firstly, based on the idea of unified modeling, the motion equation and electrical equation of the driving motor, the mathematical model of the two-level voltage source inverter are combined to establish a unified model. Then, the reference voltage vectors with current and speed information are predicted. In order to solve the problem of weight coefficient tuning in the traditional cost function, and simplify the complexity of the algorithm, the improved cost function is determined according to the ratio of contour error and tracking error, then the candidate voltage vectors are selected and the cost function is optimized. Finally, the simulation research proves that the proposed control strategy can meet the dynamic and steady-state demand and synchronous control accuracy without weight coefficient tuning.