Particle Swarm Optimization Based Optimal Design of Six-phase Induction Motor for Electric Propulsion of Submarines

Abstract

Research reveals that multiphase motors in electric submarine propulsion systems are highly recommended because of their improved reliability and effciency than the traditional three phase motors. This thesis presents comparison of optimal model and design of six phase squirrel cage induction motor for electric propulsion of submarines by using Particle Swam Optimization (PSO). In this thesis also the design of six phase squirrel cage induction motor is simulated by ANSYS Motor-CAD and the simulation results are compared in order to find the fittest method and also the performance to electric propulsion of submarines, considering the influence of design upon the motor performance. The six- phase squirrel cage induction motor is cost effective, reliable and more efficient for the electric propulsion of submarines compared to the conventional three phase motor. In the study, first initial parameters of six phase squirrel cage induction motor have been determined and then these parameters have been compared with optimized values by GA and PSO optimization. The motor design is optimized using efficiency, power losses and material cost as the fitness function. The research paper also highlights the use of ANSYS Motor-CAD for the design of six phase squirrel cage induction motor and it also presents the simulation results along with Two Dimensional and Three-Dimensional geometry. The result shows that the weight and power loss is reduced to 161kg and 0.9359Kw respectively, while efficiency and power factor is increased to 0.95 and 0.87 respectively when PSO is used. This shows that the result is promising.