2025 lEEE International Conference on Predictive Control of Electrical Drives and Power Electronics (PRECEDE 2025)

58 / 2025-01-30 18:25:27

A Dual-Vector Predictive Control Method Based on PSO Parameter Identification for NPC Inverters

particle swarm optimization,parameter identification,dual-vector,robustness,model predictive control

The conventional model predictive control (MPC) is highly dependent on load parameters and has limited robustness. In this paper, a dual-vector model predictive control algorithm based on particle swarm optimization (PSO) for parameter identification is proposed. The PSO algorithm is used to identify the load parameters, while the dual-vector method enhances the prediction accuracy and robustness. MATLAB/Simulink is used for simulation analysis, and experiments are conducted to validate the effectiveness of the proposed method.