Predictive Speed Synchronous Control of Dual Permanent Magnet Motor System Based on Quadratic Cost Function

Abstract

In order to solve the problem of reliance on manual experience and long time consuming for the weight coefficient setting in the predictive speed synchronous control of the dual permanent magnet motor system, this paper proposes a finite control set model predictive control strategy based on quadratic cost function. 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 offline solution algorithm is used based on Lyapunov stability analysis to realize the self-tuning of the weight coefficient matrix, ensuring the convergence of each error term in the consecutive period; After that, the adjusted weight coefficient matrix is used for the online rolling optimization process of the predictive speed synchronous controller, and the cost function optimization is finally performed. Simultaneously considering the actual user needs, the current limit is added to the system. Finally, the simulation research prove that the proposed control strategy has fast dynamic response speed and synchronous tracking accuracy.