Analysis and Comparison of Harmonic Suppression Effect of Particle Swarm Optimization RNN and Decision Fusion Algorithm for Motor Current

These factors introduce harmonic currents at multiple frequencies, degrading motor control performance. This paper focuses on addressing the 5th and 7th harmonic currents in PMSMs. It begins by outlining the principles and implementation steps of Particle Swarm Optimization (PSO) and decision fusion algorithms, followed by an analysis of their effectiveness in harmonic suppression. Simulation results indicate that the proposed suppression algorithm, based on Recurrent Neural Networks (RNN) and decision fusion, outperforms others in reducing 5th and 7th harmonic currents, improving both the RNN’s prediction accuracy and the overall harmonic suppression performance.