Torque optimization of submersible motors using evolutionary algorithms

This paper presents the design optimization method to maximize the torque of submersible motors. In optimization, genetic algorithms have been used because of its superior features over some other evolutionary algorithms. The magnetic analysis of motor has been implemented with two-dimensional finite elements method. The optimization results obtained from genetic algorithms have been verified by finite elements method. It is seen that the results are in compliance with Finite Element results. Besides, Genetic algorithms have been tested by using different number of populations; crossover and mutation rates. The results have shown that submersible induction motors' torques and efficiencies are improved and material savings are obtained.