Strategie ewolucyjne w optymalizacji silników zwartobiegunowych

An optimization module was built on the basis of MATLAB and FEMM packages where the above-described objective function, searching the maximum starting torque in a shaded-pole induction motor, was implemented. In the process of optimization functions of genetic algorithms introduced in MATLAB [4], were implemented. Thus, an initial population in the form of six chromosomes was defined. The genetic algorithm enables to keep an equilibrium between wide research of the solution space and using the solutions found due to the previous generations of chromosomes. The objective function was defined so that good solutions meeting the pre-set limitations were reproduced and other solutions were rejected by means of a selection method in every subsequent generation. On completing calculations, the final population was the next initial population until the pre-set convergence of consecutive results was achieved.