Volume 61 Issue 2 (2011) - Годишник на ТУ - София - Технически ...

Fig.8 Calculated initial cogging torque values and final cogging torque in motor.Fig.9 Optimization process progress for each generation.Optimization process progress for each generation is shown on Fig 9. There the evolutionof best solution can be observed for sequence of different generations. In thatcase optimization process includes 55 generations for reaching minimal coggingtorque value criteria.6. ConclusionHighly effective and fast method and implementation for two-dimensional pole andmagnet shape optimization for permanent magnet motor is introduced in this paper.Method is based on GA minimization which employs a finite element method model.Optimization is made by genetic algorithm toolbox of Matlab which employs theFemm model true Octave/Lua interface. Finite element method is used to solve electromagneticproblem. Computations were automated using Octave-Femm library.Matlab environment offers easy storage, processing and visualization of optimizationprocess data. Method’s capabilities are for general optimal shape determination for111