Open AccessOptimal electromagnetic torque of the induction motor generated automatically with Gmsh/GetDP software
Author(s) -
Malagoli Juliana Almansa,
Camacho José Roberto,
Luz Mauricio Valencia Ferreira
Publication year - 2021
Publication title -
international transactions on electrical energy systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.428
H-Index - 42
ISSN - 2050-7038
DOI - 10.1002/2050-7038.12773
Subject(s) - induction motor , torque , software , sorting , computer science , maximization , genetic algorithm , process (computing) , generator (circuit theory) , differential evolution , control engineering , mathematical optimization , algorithm , engineering , power (physics) , mathematics , voltage , physics , electrical engineering , thermodynamics , programming language , quantum mechanics , machine learning , operating system
Summary The main objective of this paper is to optimize the electromagnetic torque of the induction motor automatically using finite elements. In addition, through use of the differential evolution algorithm, an algorithm was created that is adapted for Multi‐objective Optimization Differential Evolution (MODE). In order to validate the developed algorithm, the results were compared with the Non‐dominated Sorting Genetic Algorithm (NSGA‐II). The methodology developed is based on minimizing the cost of materials over the manufacturing process of the three‐phase induction motor, along with maximization of energy efficiency and consequently producing optimal torque. The results for the efficient machine design are divided into three parts: an analytical calculation for the preliminary result; the determination of a geometric vector variable that characterizes the mathematical model presented in an optimization and CAD generator software. Finally, a discussion is presented concerning the limitations and advantages of the project approach developed in this paper.