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

Recent research reveals that multi-phase motors in electric propulsion systems are highly recommended due to their improved reliability and efficiency over traditional three phase motors. This presented a comparison of optimal model design six squirrel cage induction motor (IM) for by using Genetic Algorithm (GA) Particle Swarm Optimization (PSO). A is designed simulated ANSYS Motor-CAD. In order find the best fit method, simulation results compared applied propulsion, considering influence upon performance. The six-phase more energy efficient, reliable cost effective conventional motor. this study, first initial parameters have been determined then these with optimized values PSO optimization. power losses as fitness function. Motor-CAD were also along two-dimensional three-dimensional geometry. result shows weight loss reduced 161 kg 0.9359 Kw respectively, while factor increased 0.95 0.87 respectively when used. promising.