DYNA JOURNAL ENGINEERING

Key words:

electric machine optimization, induction motor design, metaheuristic optimization, electromagnetic losses, motor efficiency improvement, slot geometry optimization, energy-efficient motors, computational optimization, electrical machine design, global optimization algorithms, industrial energy efficiency, electric motor performance

Article type:

ARTICULO DE INVESTIGACION / RESEARCH ARTICLE

Section:

RESEARCH ARTICLES

Induction motors are the most widely used type of motor in industry. They are designed in single-phase and three-phase versions. Many critical parameters are involved in the design of an induction motor, and each parameter has a specific impact on motor performance. One of the most important design parameters is the geometry of the stator and rotor slots. In this study, motor design was carried out using 10 different optimization algorithms for slot geometries. Furthermore, iron losses and efficiency, which are indicators of motor performance, were optimized using the slot geometry designs. Genetic Algorithm, Tabu Search Algorithm, Simulated Annealing Algorithm, Whale Optimization Algorithm (WOA), and their variants were used for optimization. The objective function was to minimize iron losses and maximize motor efficiency by optimizing the stator and rotor slot dimensions for energy saving. The main motivation for choosing the WOA method was its better convergence speed and solution accuracy for nonlinear problems such as induction motor design. WOA and its variants were applied to this problem for the first time, and iron losses and efficiency were optimized. The results showed that WOA and its variants achieved more successful results compared with the other optimization methods. As a result of the optimization, iron losses were reduced by 41.55%, leading to a 0.802% increase in the efficiency of the induction motor.