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Variance-based robust optimization of permanent magnet synchronous machine

Variance-based robust optimization of permanent magnet synchronous machine
Variance-based robust optimization of permanent magnet synchronous machine
This paper focuses on the application of the variance-based global sensitivity analysis for a topology derivative method in order to solve a stochastic nonlinear time-dependent magnetoquasistatic interface problem. To illustrate the approach a permanent magnet synchronous machine has been considered. Our key objective is to provide a robust design of rotor poles and of the tooth base in a stator for the reduction of the torque ripple, while taking material uncertainties into account. Input variations of material parameters are modeled using the polynomial chaos expansion technique, which is incorporated into the stochastic collocation method in order to provide a response surface model. Additionally, we can benefit from the variance-based sensitivity analysis. This allows us to reduce the dimensionality of the stochastic optimization problems, described by the random-dependent cost functional. Finally, to validate our approach, we provide the two-dimensional simulations and analysis, which confirm the usefulness of the proposed method and yield a novel topology of a permanent magnet synchronous machine.
Design optimization, Permanent magnet motors, Topology derivative, Robustness, Stochastic processes, Chaos Polynomials, Uncertainty quantification
Putek, Piotr A.
88da1e67-3958-4c2c-8bf3-ef4fdb14ec6c
ter Maten, E. Jan W.
26021665-781f-4dcc-b4ee-1e6190d1d1d3
Gunther, Michael
5521d2b2-a8f6-44e8-b7ab-026c6d32690b
Sykulski, Jan
d6885caf-aaed-4d12-9ef3-46c4c3bbd7fb
Putek, Piotr A.
88da1e67-3958-4c2c-8bf3-ef4fdb14ec6c
ter Maten, E. Jan W.
26021665-781f-4dcc-b4ee-1e6190d1d1d3
Gunther, Michael
5521d2b2-a8f6-44e8-b7ab-026c6d32690b
Sykulski, Jan
d6885caf-aaed-4d12-9ef3-46c4c3bbd7fb

Putek, Piotr A., ter Maten, E. Jan W., Gunther, Michael and Sykulski, Jan (2017) Variance-based robust optimization of permanent magnet synchronous machine. 21st International Conference on the Computation of Electromagnetic Fields, Daejeon Convention Center, Korea, Republic of. 18 - 22 Jun 2017. 2 pp . (In Press)

Record type: Conference or Workshop Item (Paper)

Abstract

This paper focuses on the application of the variance-based global sensitivity analysis for a topology derivative method in order to solve a stochastic nonlinear time-dependent magnetoquasistatic interface problem. To illustrate the approach a permanent magnet synchronous machine has been considered. Our key objective is to provide a robust design of rotor poles and of the tooth base in a stator for the reduction of the torque ripple, while taking material uncertainties into account. Input variations of material parameters are modeled using the polynomial chaos expansion technique, which is incorporated into the stochastic collocation method in order to provide a response surface model. Additionally, we can benefit from the variance-based sensitivity analysis. This allows us to reduce the dimensionality of the stochastic optimization problems, described by the random-dependent cost functional. Finally, to validate our approach, we provide the two-dimensional simulations and analysis, which confirm the usefulness of the proposed method and yield a novel topology of a permanent magnet synchronous machine.

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Compumag2017_Putek_et_final_abstract_after_review_20170429 - Accepted Manuscript
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More information

Accepted/In Press date: 8 March 2017
Venue - Dates: 21st International Conference on the Computation of Electromagnetic Fields, Daejeon Convention Center, Korea, Republic of, 2017-06-18 - 2017-06-22
Keywords: Design optimization, Permanent magnet motors, Topology derivative, Robustness, Stochastic processes, Chaos Polynomials, Uncertainty quantification
Organisations: EEE

Identifiers

Local EPrints ID: 408115
URI: http://eprints.soton.ac.uk/id/eprint/408115
PURE UUID: 19c220e6-0926-4aaa-a2c3-3dfd4270481c
ORCID for Jan Sykulski: ORCID iD orcid.org/0000-0001-6392-126X

Catalogue record

Date deposited: 12 May 2017 04:03
Last modified: 05 Feb 2020 01:23

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Contributors

Author: Piotr A. Putek
Author: E. Jan W. ter Maten
Author: Michael Gunther
Author: Jan Sykulski ORCID iD

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