Universal AC commutating series motor Design using a smart optimizing method based on PSO algorithm

A significant number of electrical motors producing annually are on the basis of small AC commutating series motor. The application of such motors is more considered in some appliances like vacuum cleaners, mixers, juicer machines, drills and etc. Therefore, regarding the trial and error mechanism, a proper design procedure of such types of electrical machines eventuates to a significant decline in saving the overall manufacturing cost. Hence, in this paper through a smart optimizing method based on particle swarm optimization (PSO) algorithm, a design consideration for an universal AC commutating series motor is presented. By the definition, a combination of geometric parameters and operating point of motor is used as the cost function of the proposed optimizing method. Here, in order to show the effectiveness of the proposed method, the overall optimizing results derived from the PSO algorithm will be compared with its counterpart based on Firefly algorithm. Also, to further confirm the obtained results from the proposed designing procedure, the design of a sample universal motor is implemented into the two-dimension Maxwell software with a contribution of finite element analysis. The simulation results show the robustness and high flexibility of the proposed method.