Parallel-in-time optimization of induction motors

Journal of Mathematics in Industry

Research

Iryna Kulchytska-Ruchka¹  Sebastian Schöps¹  Jens Hahne²  Stephanie Friedhoff²  Björn Polenz³  Stefan Ulbrich³ 

[1] Computational Electromagnetics, Technische Universität Darmstadt, Schloßgartenstr. 8, 64289, Darmstadt, Germany;Department of Mathematics, Bergische Universität Wuppertal, Gaußstr. 20, 42119, Wuppertal, Germany;Department of Mathematics, Technische Universität Darmstadt, Dolivostr. 15, 64293, Darmstadt, Germany;

关键词: Parallel-in-time;    Optimization;    Electric motors;   

DOI  :  10.1186/s13362-023-00134-5

 received in 2022-03-21, accepted in 2023-05-29,  发布年份 2023

来源: Springer

【 摘 要 】

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.

【 授权许可】

CC BY   
© The Author(s) 2023

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