title: ÐÐ¿ÑÐ¸Ð¼Ð¸Ð·Ð°ÑÐ¸Ñ Ð¿Ð°ÑÐ°Ð¼ÐµÑÑÐ¾Ð² ÑÑÑÐ±Ð¾Ð³ÐµÐ½ÐµÑÐ°ÑÐ¾ÑÐ° ÑÐµÑÐ¸Ð¸ Ð¢ÐÐ Ð¿Ð¾ Ð²ÐµÐºÑÐ¾ÑÐ½Ð¾Ð¼Ñ ÐºÑÐ¸ÑÐµÑÐ¸Ñ ÐºÐ°ÑÐµÑÑÐ²Ð° Ð½Ð° Ð¾ÑÐ½Ð¾Ð²Ð°Ð½Ð¸Ð¸ ÑÐ»ÐµÐºÑÑÐ¾Ð¼Ð°Ð³Ð½Ð¸ÑÐ½Ð¾Ð³Ð¾ ÑÐ°ÑÑÑÑÐ°
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¼Ð°Ð³Ð¸ÑÑÑÐ°
titleType: Subtitle
title: Optimization of the parameters of the turbogenerator of the TVV series according to the vector quality criterion based on electromagnetic calculation
Creators: name: ÐÐ°ÑÐºÐ¾Ð², ÐÐ°ÐºÑÐ¸Ð¼
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2020
Subjects: ÑÑÑÐ±Ð¾Ð³ÐµÐ½ÐµÑÐ°ÑÐ¾Ñ
ÑÐ¸Ð½Ñ ÑÐ¾Ð½Ð½ÑÐ¹
ÑÐ»ÑÑÑÐµÐ½Ð¸Ðµ Ð¿ÑÐ¾ÑÐ¾ÑÐ¸Ð¿Ð°
Ð¼Ð½Ð¾Ð³Ð¾ÐºÑÐ¸ÑÐµÑÐ¸Ð°Ð»ÑÐ½Ð°Ñ Ð¾Ð¿ÑÐ¸Ð¼Ð¸Ð·Ð°ÑÐ¸Ñ
Ð³ÐµÐ½ÐµÑÐ¸ÑÐµÑÐºÐ¸Ð¹ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼
ÐÐ¡ÐÐ-II
Ð²ÐµÐºÑÐ¾ÑÐ½ÑÐ¹ ÐºÑÐ¸ÑÐµÑÐ¸Ð¹ ÐºÐ°ÑÐµÑÑÐ²Ð°
Ð¾Ð¿ÑÐ¸Ð¼Ð¸Ð·Ð°ÑÐ¸Ñ Ð¿Ð°ÑÐ°Ð¼ÐµÑÑÐ¾Ð²
ÐÐÐ ÑÑÑÐ±Ð¾Ð³ÐµÐ½ÐµÑÐ°ÑÐ¾ÑÐ°
Ð¸Ð½Ð´ÑÐºÑÐ¸Ð²Ð½Ð¾Ðµ ÑÐ¾Ð¿ÑÐ¾ÑÐ¸Ð²Ð»ÐµÐ½Ð¸Ðµ ÑÑÑÐ±Ð¾Ð³ÐµÐ½ÐµÑÐ°ÑÐ¾ÑÐ°
turbogenerator
synchronous
prototype improvement
multi-objective optimization
genetic algorithm
NSGA-II
vector quality criterion
optimization parameters
turbogenerator efficiency
inductance of the turbogenerator

description: Ð Ð½Ð°ÑÑÐ¾ÑÑÐµÐ¹ ÑÐ°Ð±Ð¾ÑÐµ Ð¾Ð¿ÑÐ¾Ð±Ð¾Ð²Ð°Ð½Ð° Ð¼ÐµÑÐ¾Ð´Ð¸ÐºÐ° Ð¾Ð¿ÑÐ¸Ð¼Ð¸Ð·Ð°ÑÐ¸Ð¸ Ð¿Ð°ÑÐ°Ð¼ÐµÑÑÐ¾Ð² ÑÑÑÐ±Ð¾Ð³ÐµÐ½ÐµÑÐ°ÑÐ¾ÑÐ° Ñ Ð²Ð¾Ð´Ð¾ÑÐ¾Ð´Ð½Ð¾-Ð²Ð¾Ð´ÑÐ½ÑÐ¼ Ð¾ÑÐ»Ð°Ð¶Ð´ÐµÐ½Ð¸ÐµÐ¼. ÐÐ½Ð¾Ð³Ð¾ÐºÑÐ¸ÑÐµÑÐ¸Ð°Ð»ÑÐ½Ð°Ñ Ð¾Ð¿ÑÐ¸Ð¼Ð¸Ð·Ð°ÑÐ¸Ñ Ð²ÑÐ¿Ð¾Ð»Ð½ÐµÐ½Ð° Ð¿Ð¾ÑÑÐµÐ´ÑÑÐ²Ð¾Ð¼ Ð³ÐµÐ½ÐµÑÐ¸ÑÐµÑÐºÐ¾Ð³Ð¾ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð° Ð½ÐµÐ´Ð¾Ð¼Ð¸Ð½Ð¸ÑÑÐµÐ¼Ð¾Ð¹ ÑÐ¾ÑÑÐ¸ÑÐ¾Ð²ÐºÐ¸ NSGA-II. ÐÐ¿ÑÐ¸Ð¼Ð°Ð»ÑÐ½Ð¾ÑÑÑ ÑÐ°ÑÑÐ¼Ð°ÑÑÐ¸Ð²Ð°ÐµÑÑÑ Ð² ÑÐ¼ÑÑÐ»Ðµ Ð¿Ð¾Ð»ÑÑÐµÐ½Ð¸Ñ ÐºÐ¾Ð½ÑÑÑÑÐºÑÐ¸Ð¸ ÑÑÑÐ±Ð¾Ð³ÐµÐ½ÐµÑÐ°ÑÐ¾ÑÐ°, ÐºÐ¾ÑÐ¾ÑÑÐ¹ Ð¾Ð±Ð»Ð°Ð´Ð°ÐµÑ ÑÐ»ÑÑÑÐµÐ½Ð½ÑÐ¼Ð¸ Ð·Ð½Ð°ÑÐµÐ½Ð¸ÑÐ¼Ð¸ ÑÐ°Ð·Ð»Ð¸ÑÐ½ÑÑ Ð¸ÑÑÐ»ÐµÐ´ÑÐµÐ¼ÑÑ ÑÐµÐ»ÐµÐ²ÑÑ ÑÑÐ½ÐºÑÐ¸Ð¹. Ð ÐµÐ·ÑÐ»ÑÑÐ°ÑÑ Ð¾Ð¿ÑÐ¸Ð¼Ð¸Ð·Ð°ÑÐ¸Ð¸ Ð½ÐµÐ¾Ð±ÑÐ¾Ð´Ð¸Ð¼Ð¾ ÑÐ¾Ð¿Ð¾ÑÑÐ°Ð²Ð¸ÑÑ Ñ Ð¸ÑÑÐ¾Ð´Ð½ÑÐ¼ Ð¿ÑÐ¾ÑÐ¾ÑÐ¸Ð¿Ð¾Ð¼ Ð³ÐµÐ½ÐµÑÐ°ÑÐ¾ÑÐ°. Ð¦ÐµÐ»Ñ Ð½Ð°ÑÑÐ¾ÑÑÐµÐ¹ ÑÐ°Ð±Ð¾ÑÑ - ÑÐ¾Ð·Ð´Ð°Ð½Ð¸Ðµ Ð¸ Ð°Ð¿ÑÐ¾Ð±Ð°ÑÐ¸Ñ Ð½Ð° ÑÐ¶Ðµ Ð¸Ð·ÑÑÐµÐ½Ð½Ð¾Ð¼ Ð¾Ð±ÑÐµÐºÑÐµ Ð¼ÐµÑÐ¾Ð´Ð¸ÐºÐ¸ Ð¼Ð½Ð¾Ð³Ð¾ÑÐµÐ»ÐµÐ²Ð¾Ð¹ Ð¾Ð¿ÑÐ¸Ð¼Ð¸Ð·Ð°ÑÐ¸Ð¸, Ð¾ÑÐ½Ð¾Ð²Ð°Ð½Ð½Ð¾Ð¹ Ð½Ð° ÑÐ²ÑÐ¸ÑÑÐ¸ÑÐµÑÐºÐ¾Ð¼ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ðµ, ÐºÐ¾ÑÐ¾ÑÐ°Ñ ÑÐ¼Ð¾Ð¶ÐµÑ ÑÐ»ÑÑÑÐ°ÑÑ Ð¿ÑÐ¾ÑÐ¾ÑÐ¸Ð¿Ñ ÑÑÑÐ±Ð¾Ð³ÐµÐ½ÐµÑÐ°ÑÐ¾ÑÐ¾Ð² Ð·Ð° ÑÑÑÑ Ð½Ð°Ð¿ÑÐ°Ð²Ð»ÐµÐ½Ð½Ð¾Ð³Ð¾ Ð¿ÐµÑÐµÐ±Ð¾ÑÐ° Ð±Ð¾Ð»ÑÑÐ¾Ð³Ð¾ ÑÐ¸ÑÐ»Ð° Ð²Ð°ÑÐ¸Ð°Ð½ÑÐ¾Ð². Ð Ð¿ÑÐ¾ÑÐµÑÑÐµ Ð²ÑÐ¿Ð¾Ð»Ð½ÐµÐ½Ð¸Ñ ÑÐ°Ð±Ð¾ÑÑ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ñ 6 Ð½Ð°Ð±Ð¾ÑÐ¾Ð² ÑÐ°Ð·Ð»Ð¸ÑÐ½ÑÑ Ð¾Ð¿ÑÐ¸Ð¼Ð¸Ð·Ð°ÑÐ¸Ð¾Ð½Ð½ÑÑ ÐºÑÐ¸ÑÐµÑÐ¸ÐµÐ², Ð¸Ð· ÐºÐ°Ð¶Ð´Ð¾Ð¹ Ð¾Ð¿ÑÐ¸Ð¼Ð¸Ð·Ð°ÑÐ¸Ð¸ Ð²ÑÐ´ÐµÐ»ÐµÐ½Ñ Ð´Ð¾Ð¼Ð¸Ð½Ð¸ÑÑÑÑÐ¸Ðµ Ð¿ÑÐ¾ÑÐ¾ÑÐ¸Ð¿Ñ, ÐºÐ¾ÑÐ¾ÑÑÐµ Ð² Ð´Ð°Ð»ÑÐ½ÐµÐ¹ÑÐµÐ¼ Ð¿ÑÐ¾Ð²ÐµÑÐµÐ½Ñ Ð¼ÐµÑÐ°Ð½Ð¸ÑÐµÑÐºÐ¸Ð¼ ÑÐ°ÑÑÐµÑÐ¾Ð¼, Ð° ÑÐ°ÐºÐ¶Ðµ ÑÐ¼Ð¾Ð´ÐµÐ»Ð¸ÑÐ¾Ð²Ð°Ð½Ñ Ð² ÑÐ°Ð¼ÐºÐ°Ñ Ð·Ð°Ð´Ð°Ñ Ð¼Ð°Ð³Ð½Ð¸ÑÐ¾ÑÑÐ°ÑÐ¸ÐºÐ¸. ÐÐ¾Ð»ÑÑÐµÐ½Ð½ÑÐµ Ð² ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÐµ Ð¾Ð¿ÑÐ¸Ð¼Ð¸Ð·Ð°ÑÐ¸Ð¹ Ð¿ÑÐ¾ÑÐ¾ÑÐ¸Ð¿Ñ ÑÑÑÐ±Ð¾Ð³ÐµÐ½ÐµÑÐ°ÑÐ¾ÑÐ¾Ð² ÑÐ¼Ð¾Ð´ÐµÐ»Ð¸ÑÐ¾Ð²Ð°Ð½Ñ Ð´Ð»Ñ Ð°Ð½Ð°Ð»Ð¸Ð·Ð° Ð¾ÑÐ½Ð¾Ð²Ð½Ð¾Ð³Ð¾ Ð¼Ð°Ð³Ð½Ð¸ÑÐ½Ð¾Ð³Ð¾ Ð¿Ð¾Ð»Ñ, Ð° ÑÐ°ÐºÐ¶Ðµ Ð¿ÑÐ¾ÑÐ¾ÑÐ¸Ð¿Ñ Ð¿ÑÐ¾Ð²ÐµÑÐµÐ½Ñ Ð½Ð° Ð¿ÑÐ¾ÑÐ½Ð¾ÑÑÑ Ð¾ÑÐ´ÐµÐ»ÑÐ½ÑÑ ÑÐ·Ð»Ð¾Ð² Ð¼ÐµÑÐ°Ð½Ð¸ÑÐµÑÐºÐ¸Ð¼ ÑÐ°ÑÑÐµÑÐ¾Ð¼.
description: In this thesis, we tested a method for changing the parameters of a hydrogen-water cooled turbogenerator. For multi-objective optimization we used the NSGA-II non-dominated sorting genetic algorithm. The optimal possibility of obtaining constructions of a turbogenerator, which has improved values of the various studied target functions. The optimization results must be compared with the original prototype of the generator. The aim of this work is to create and test on the already studied objects a multi-purpose optimization methodology based on a heuristic algorithm that can improve prototype turbogenerators for several directivity variants of a large number of options. In the process of performing the work, 6 sets of various optimization criteria were investigated, from each of which dominant prototypes were selected, which are also verified by mechanical calculation, and simulated in the framework of magnetostatic problems. The prototypes of turbogenerators obtained as a result of optimization make it possible to analyze the main magnetic fields, and also test the prototypes for the strength of individual nodes by mechanical calculation.