Optimization of PMSM using halbach arraysto maximize motor efficiency

Permanent magnet synchronous motors are widely used in technological applications. Various permanent magnet synchronous motors are preferred for different type of purposes such as in home applications, military needs, air-space applications, automotive, health applications, etc. They can provide low cost solutions in high performance load needs depends on its durability, simple construction, control capacity and energy efficient structure.Because of the wide usage of electrical motors in both industrial and home applications, they are becoming integral part of technological applications. Efficient usage of energy sources and efficiency issues about industrial and home systems becoming more important day by day with growing energy demand of world population. As a result, goverment and world energy organizations began to use new standards and regulations to organise energy demand and usage of world. Energy consumption and energy classes of electrical motors became an important issue also for the energy regulations because of wide usage of electrical motors. Moreover, these regulations lead to motor designers to find out new methods about design issues for electrical motors.Halbach magnet array discovered by Mallinson in 1973, depends on his researhes about magnets and magnet based structures. Halbach magnet arrays were used in energy storage applications, accelarators and recorders at the beginning. After its structure is approved, they are applied in different fields like electrical motors. Moreover, optimizations problem based on analytical calculations started to use for best solutions in engineering problems to obtain optimum solutions, rather than empirical formulas. Optimization methods basically classify into mathematical optimization and metaheuristic optimization. Metaheuristic optimization methods like particle swarm optimization, genetic algorithm, artificial bee colony and etc. lead best solutions for engineering problem because of their nature based algorithms. In this research, Halbach array implementation is applied for a pump motor used in household applications. Particle swarm optimization and genetic algorithm are used to optimize the Halbach arrayed design. Finite element method and analytical calculations were used for the motor design. The designed motor is compared to the reference motor in terms of motor performance indicators such as magnetic flux results, efficiency, cost and weight. Results shows that, it is possible to enhance efficiency and output torque at same conditions with using optimized Halbach array as mentioned in the literature. All electrical and magnetic contributions and disadvantages of using Halbach array implemetation are evaluated in the thesis in detail.