Optimization of Air Gap Length and Capacitive Auxiliary Winding in Three-Phase Induction Motors Based on a Genetic Algorithm

There is a necessity to design three-phase squirrel cage induction motor (SCIM) for high-speed applications with larger air gap length in order limit the distortion of flux density, thermal expansion stator and rotor teeth, centrifugal forces, magnetic pull. To that effect, lowers power factor, efficiency, torque density SCIM. This should inform engineers take special care during process SCIM by selecting an will provide optimal performance. paper presents approach would assist selection (OAL) capacitive auxiliary winding (OCASW) configuration high per ampere (TPA) A genetic algorithm (GA) assisted finite element analysis (FEA) used determine OAL OCASW required obtain without compromising merit achieving excellent factor efficiency The performance optimized compared unoptimized machines. results obtained from FEA are validated through experimental measurements. Owing penalty functions related value objective constraint introduced model, both evidence enhanced can be realized large different working conditions.