Optimization of a Transverse Flux Motor Using an Evolutionary Algorithm

This paper presents an optimal design of the magnetic circuit for a modular reluctance transverse flux motor (TFM) with an outer rotor. The design aims at maximization of the average electromagnetic torque and minimization of the ripple torque, with the two requirements appropriately weighted depending on a specific application of the motor. A precise numerical FEM model of the motor, developed in the Flux3D program, is coupled with a Matlab-based evolutionary algorithm for constrained optimization of construction parameters of the magnetic circuit. The fundamental role of a type of an optimization criterion function is analyzed and a new effective criterion function is introduced. The performance of an optimal motor constructed according to the optimum design fully confirms the usefulness of the presented approach.