Efficiency optimization of single phase motor using GA approach

In this paper Genetic Algorithm for efficiency optimization of single phase shaded pole induction motor is implemented. For this purpose an extensive mathematical model of the motor is developed. The efficiency of the motor as an objective function of the optimization is selected. The optimization process is performed for different set of optimization parameters (three, four and five variables). The prototype as well as the optimized motor models afterwards are modeled and analyzed using Finite Element Method. An analysis of the magnetic field distribution, as well as flux density values, in the whole cross-sectional area of all models has been performed in order to validate the improvements of the optimized models in relation to the basic motor model