Optimal design of modular dual-field modulated permanent magnet linear motors with thrust characteristics

To reduce thrust ripple and cost and improve the average thrust of permanent magnet linear motors, a modular dual-field modulation permanent magnet linear motor was studied, and the parameters were optimized. First, sensitive parameters were selected using the Taguchi method, and then the optimal variables were sampled using the optimal Latin hypercube experimental design method and an ensemble of surrogates model of optimization objectives, and its accuracy was verified. Next, a multi-objective particle swarm optimization algorithm was used to optimize the purpose of “maximum average thrust and minimum thrust ripple”, and the Pareto front of average thrust and thrust ripple was obtained. Finite element analysis showed that the optimized modular dual flux-modulation permanent magnet linear motor (MDFMPMLM) had a 29.5% reduction in thrust ripple and a 5% increase in average thrust compared to the original motor. This study provided an effective method for improving the performance of permanent magnet linear motors.