Optimizing Design Variables for High Efficiency Induction Motor Considering Cost Effect by Using Genetic Algorithm

Abstract

-The characteristics of an induction motor vary with the number of parameters and the performance relationship between the parameters also is implicit. In case of the induction motor design, we generally should estimate many objective physical quantities in the optimization procedure. In this article, the multi objective design optimization based on genetic algorithm is applied for the three phase induction motor. The efficiency, starting torque, and material cost are selected for the objectives. The validity of the design results is also clarified by comparison between calculated results and measured ones

Force Reduction in a Short-Stroke Vibration Tubular Generator for Vehicle Energy Harvesting Application

“…Multi-objective optimization (MOO) is a method of multiple criteria decision making, concerned with mathematical optimization problems where more than one objective function needs to be optimized simultaneously. The output of the MOO is a set of solutions that define the best trade-off between various physical responses [18][19][20]. In electrical machine design, MOO using the RSM is widely employed for modeling performance.…”

Measurement of Stator Core Loss of an Induction Motor at Each Manufacturing Process

“…There have been many investigations for improving the efficiency of rotating electric machines such as optimal design of stator and/or rotor core, employing electrical steel sheet (ESS) with better magnetic performance and lower iron loss, and so on [1]. Especially in the induction motor, it is well known that the iron loss in the stator core is a significant factor, which plays a vital role in the total iron loss [1][2][3].…”

“…There have been many investigations for improving the efficiency of rotating electric machines such as optimal design of stator and/or rotor core, employing electrical steel sheet (ESS) with better magnetic performance and lower iron loss, and so on [1]. Especially in the induction motor, it is well known that the iron loss in the stator core is a significant factor, which plays a vital role in the total iron loss [1][2][3]. Therefore, for the development of high efficiency induction motors, it is very essential to investigate how the iron loss in stator core changes in each manufacturing process since each manufacturing process is not a matter foreign to the question of efficiency via mechanical stress [4][5].…”

A Novel Slitted Tooth Core Design to Improve the Torque-Speed Characteristic of Squirrel Cage Induction Motor

“…Han and friends present to reduce the material cost of the induction motor by using multi objective genetic algorithm and equivalent circuit method. Efficiency and power factor are achieved to the aim and the material cost is reduced about 5% compared with the initial model [24]. They investigate the application of genetic algorithm for the estimation of steady-state models of induction motor [25].…”