Improvement of efficiency and weight objective functions of permanent magnet synchronous motor with genetic algorithm

Permanent magnet synchronos motors are preffered in many industrial applications due to their high efficiency, power capacity, torque density and low volume. As with other types of electric machines, efficiency enhancement studies are carried out with optimization applications also in permanent magnet synchronous motors. Many artificial intelligence techniques such as genetic algorithm (GA) technique are used in design optimization of permanent magnet synchronous motors. In this study, firstly the design works of permanent magnet synchronous motors in the literature have been examined in detail. Looking at the work done, it is seen that different situations are taken into consideration for the stator and the rotor. The fundamental reasons behind each design improvement are losses, weight, cogging torque and torque ripple to a minimum level. For these reasons, preliminary analytical design of synchronous motors in distributed and concentrated stator winding with surface magnet and inner rotor structure has been realized and the results have been verified by the finite element method (FEM). Finite element analysis was performed with ANSYS@Maxwell-2D and EMETOR programs. Then the design optimizations of the motors were improved by the genetic algorithm optimization technique. Preliminary analytical design, optimization design and finite element analysis results are compatible each other. As a result of this thesis study, it has been observed that the value of the motor efficiency is increased, total weight and the torque ripple is decreased.In this thesis, the changes in parameters such as performance and efficiency which are important in motor design are examined and a study is carried out which carries the preliminary qualification for the processes required for the motor production stage.