Open AccessResearch of Methods of Optimal Design of Special Electric Drives
Author(s) -
Vladimir Karandey,
Boris Popov,
Olga Popova,
V. L. Afanasyev
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2096/1/012206
Subject(s) - nonlinear programming , mathematical optimization , fractional programming , linear programming , computer science , sequential quadratic programming , quadratic programming , geometric programming , convex optimization , linear fractional programming , class (philosophy) , inductive programming , optimization problem , reactive programming , functional reactive programming , programming paradigm , mathematics , regular polygon , nonlinear system , programming language , artificial intelligence , physics , geometry , quantum mechanics
Problems of optimization of special electrical and electromechanical systems in modeling, creation and design are solved mainly by methods of mathematical programming. The task of mathematical programming is to find extremes of the function of many variables in the presence of restrictions on variables, which creates fundamental difficulties. To solve such problems, the number of methods for solving the general problem of mathematical programming is currently expanding significantly. In this regard, the trend in the development of mathematical programming is following the path of highlighting and studying various subclasses of problems. The use of certain specific features of the tasks of the selected subclass creates opportunities for their more effective investigation and solution. Examples of such subclasses give convex, quadratic, linear programming problems, transport-type problems, and others. Geometric programming is also a section of mathematical programming that research a certain class of optimization problems. However, when using geometric programming, you have to apply linear, nonlinear programming, the concept of convex programming. Using optimization methods will allow you to correctly investigate, design and create special electric drives.