Open AccessModification of the genetic algorithm for comprehensive topological optimization of the synchronous motors rotor
Author(s) -
А. Н. Цветков
Publication year - 2021
Publication title -
izvestiâ vysših učebnyh zavedenij. problemy ènergetiki
Language(s) - English
Resource type - Journals
eISSN - 2658-5456
pISSN - 1998-9903
DOI - 10.30724/1998-9903-2021-23-3-70-79
Subject(s) - rotor (electric) , stator , computer science , torque , control engineering , electric motor , synchronous motor , genetic algorithm , control theory (sociology) , engineering , mechanical engineering , electrical engineering , artificial intelligence , physics , control (management) , machine learning , thermodynamics
Permanentmagnetsynchronousmotors(PMSM)arewidelyusedin various fields of application of electric drives of industrial enterprises. For each application of the electric drive, it is necessary to accept technical requirements, such as the maximum torque of the electric motor and the fulfillment of the required conditions for the strength characteristics of the rotor and stator. PMSMhasa number of advantages over other types of engines. Asynchronous motors have developed resource rational energy efficiency, while synchronous motors are more energy efficient without modifications. PMSM have smaller weight and size parameters, which allows them to be used in a wider field of application, for example, in household appliances, robots and many other drives. TARGET.Theaimistodevelopa methodology for topological complex optimization of the engine design, based on a genetic algorithm. METHODS.Thegeneticalgorithmismoreaccuratethantraditionalanalyticalmethods,themethodusedintheanalysisofACmachines,takesless time than the usual trial and error design procedure based on the finite element method. The main optimization criterion is an increase in torque while maintaining the mass of the most expensive material (permanent magnets). This feature is important for the manufacture of a designed engine in production. RESULTS.A program has been written in Python, which made it possible to carry out a comprehensive topological optimization for the engine under consideration. CONCLUSION.Topologicaloptimizationbasedonthemethodofmodifyingtherotordesignusinga genetic algorithm with the additions necessary for correct operation with synchronous motors is presented.