Multi-objective optimization of Ironless PMLSM based on Semi-Analytical Model Using Genetic-Particle Swarm Optimization Algorithm

Using 3D FEM to achieve optimal design for long stator Ironless permanent magnet linear synchronous motor (PMLSM) with many design parameters is computationally an expensive task. To reduce design time without loss of accuracy, the end winding inductance model is established in this paper. Then the end winding inductance model and 2D FEM(Semi-Analytical) were combined to replace the 3D FEM model. Finally, the optimal design set of PMLSM can be obtained quickly and accurately based on Semi-Analytical by Genetic-Particle Swarm Optimization Algorithm (GAPOS).