Track: Masters Thesis Competition
Efficiency is affected by the geometry parameter and rotor slot number selection therefore a Genetic Algorithm based optimal design of a three-phase squirrel cage induction motor is applied to improve the efficiency of IM 2.2kW-4P from efficiency class IE2 to IE 4 motor design. An analytical calculation will investigate power, losses, and efficiency with different geometrical parameters of stator/rotor. Different constraints and different variables are imposed to achieve the best design within a specified range of variables. A genetic algorithm is used to achieve optimal design of the Squirrel Cage Induction motor-SCIM 2.2kW-4P with 36 stator slots/ 28,32, 40, and 44 rotor bars are verified under starting and constant speed. Their electromagnetic characteristics, such as electromagnetic torque, stator current, and magnetic flux density are compared in between two configurations. The paper contributes that the proper geometry parameters have a strong impact on the induction motor efficiency and the best design is applied for a 2.2kW induction motor with fixed stator and rotor diameters. The results obtained after running the optimization technique give visible improvements in efficiency as well as cost. To obtain the best design efficiency and cost of material is obtained using multi-objective Genetic Algorithm.