Simplified Algorithm for Multi-Step Model Predictive Control of Permanent Magnet Synchronous Motors for Ship Propulsion

Abstract

A simplified voltage vector multi-step model predictive control algorithm is proposed to address the practical problems of excessive dependence on system parameters for vector control of permanent magnet synchronous motors for ship propulsion, poor steady state control performance of single-step model predictive control algorithm, and large computational volume of traditional multi-step model predictive control algorithm. First, by analyzing the operation and implementation process of traditional vector control, this paper applies the single-step current model predictive control algorithm with a double closed-loop structure to establish a finite control set model predictive control model for ship propulsion permanent magnet synchronous motor, which has the advantages of reducing the dependence of the control algorithm on the system parameters, and simple calculation. Second, considering the prediction conservatism problem and prediction delay problem of single-step model predictive control in one control cycle, this paper proposes an SVVM-MPC algorithm, which can utilize delay compensation, streamlining the voltage vector and increasing the prediction step size to ensure the controller is lighter computational load while obtaining better steady-state control results. Finally, the simulation and experimental results show that the computation of SVVM-MPC algorithm is only 37.5% of the traditional multistep current prediction algorithm under the variation of speed and load torque of ship propulsion permanent magnet synchronous motors, meanwhile, the torque pulsation is effectively suppressed and reduced by about 25%, which improves the quality of three-phase currents and enhances the steady-state control performance. © 2025 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.