Optimization Design of a Dual-Rotor Axial-Flux Permanent Magnet Vernier Machine based on Genetic Algorithm

This paper proposes an optimal design to improve the torque and power factor of a dual-rotor axial-flux aligned permanent magnet vernier machine (DR-AFAPMVM) according to the results of two dimensional finite element analysis (2D-FEA). The stator tooth-slot structure in a vernier machine has the flux modulation effect and determines the main flux path, therefore, the optimal design of stator is an effective choice to achieve larger torque and power factor. Genetic algorithm (GA) is utilized as the basic optimization algorithm to obtain the final optimal result, which is further verified by FEA.