Parallel-in-time optimization of induction motors
Abstract Parallel-in-time (PinT) methods were developed to accelerate time-domain solution of evolutionary problems using modern parallel computer architectures. In this paper we incorporate one of the efficient PinT approaches, in particular, the asynchronous truncated multigrid-reduction-in-time a...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
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SpringerOpen
2023-06-01
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Series: | Journal of Mathematics in Industry |
Subjects: | |
Online Access: | https://doi.org/10.1186/s13362-023-00134-5 |
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author | Jens Hahne Björn Polenz Iryna Kulchytska-Ruchka Stephanie Friedhoff Stefan Ulbrich Sebastian Schöps |
author_facet | Jens Hahne Björn Polenz Iryna Kulchytska-Ruchka Stephanie Friedhoff Stefan Ulbrich Sebastian Schöps |
author_sort | Jens Hahne |
collection | DOAJ |
description | Abstract Parallel-in-time (PinT) methods were developed to accelerate time-domain solution of evolutionary problems using modern parallel computer architectures. In this paper we incorporate one of the efficient PinT approaches, in particular, the asynchronous truncated multigrid-reduction-in-time algorithm, into a bound constrained optimization procedure applied to an induction machine. Calculation of an optimal motor geometry with respect to its efficiency in the steady state is thus parallelized at each iteration of the optimization algorithm. As a result, a more efficient motor model is obtained about 11 times faster compared to optimization using the standard sequential time stepping. |
first_indexed | 2024-03-13T03:23:48Z |
format | Article |
id | doaj.art-fbf46ad55ccf438a92b341a903c082b5 |
institution | Directory Open Access Journal |
issn | 2190-5983 |
language | English |
last_indexed | 2024-03-13T03:23:48Z |
publishDate | 2023-06-01 |
publisher | SpringerOpen |
record_format | Article |
series | Journal of Mathematics in Industry |
spelling | doaj.art-fbf46ad55ccf438a92b341a903c082b52023-06-25T11:11:11ZengSpringerOpenJournal of Mathematics in Industry2190-59832023-06-0113111610.1186/s13362-023-00134-5Parallel-in-time optimization of induction motorsJens Hahne0Björn Polenz1Iryna Kulchytska-Ruchka2Stephanie Friedhoff3Stefan Ulbrich4Sebastian Schöps5Department of Mathematics, Bergische Universität WuppertalDepartment of Mathematics, Technische Universität DarmstadtComputational Electromagnetics, Technische Universität DarmstadtDepartment of Mathematics, Bergische Universität WuppertalDepartment of Mathematics, Technische Universität DarmstadtComputational Electromagnetics, Technische Universität DarmstadtAbstract Parallel-in-time (PinT) methods were developed to accelerate time-domain solution of evolutionary problems using modern parallel computer architectures. In this paper we incorporate one of the efficient PinT approaches, in particular, the asynchronous truncated multigrid-reduction-in-time algorithm, into a bound constrained optimization procedure applied to an induction machine. Calculation of an optimal motor geometry with respect to its efficiency in the steady state is thus parallelized at each iteration of the optimization algorithm. As a result, a more efficient motor model is obtained about 11 times faster compared to optimization using the standard sequential time stepping.https://doi.org/10.1186/s13362-023-00134-5Parallel-in-timeOptimizationElectric motors |
spellingShingle | Jens Hahne Björn Polenz Iryna Kulchytska-Ruchka Stephanie Friedhoff Stefan Ulbrich Sebastian Schöps Parallel-in-time optimization of induction motors Journal of Mathematics in Industry Parallel-in-time Optimization Electric motors |
title | Parallel-in-time optimization of induction motors |
title_full | Parallel-in-time optimization of induction motors |
title_fullStr | Parallel-in-time optimization of induction motors |
title_full_unstemmed | Parallel-in-time optimization of induction motors |
title_short | Parallel-in-time optimization of induction motors |
title_sort | parallel in time optimization of induction motors |
topic | Parallel-in-time Optimization Electric motors |
url | https://doi.org/10.1186/s13362-023-00134-5 |
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