Low Complexity Model Predictive Control with Variable Dead-Time for PMSM Drives

When operating a permanent magnet synchronous motor with a three-level converter, the utilization of model predictive control presents certain drawbacks, namely subpar steady-state performance, and extensive computational requirements. In view of the above problems, this paper proposes an optimization algorithm. Firstly, the Nelder-Mead algorithm is employed to de-termine the optimal voltage vector, iteratively searching for the voltage vector that minimizes errors in current control. Then, combining the DC side capacitor voltage, the optimal voltage vector is determined. Next, the dead-time voltage vector corresponding to the optimal voltage vector is determined, and both are regarded as the output voltage vectors of the next cycle. Further-more, the duty cycle that minimizes current control error being calculated, representing the optimal dead-time. Finally, experimental results show the effectiveness of the proposed control algorithm.