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Robust Design Optimization of Mechatronics Systems: Parallel Electric Drivetrain Application

Published online by Cambridge University Press:  26 May 2022

A. Rosich,
C. López,
P. Dewangan and
G. Abedrabbo
A. Rosich*
Affiliation:
Flanders Make, Belgium
C. López
Affiliation:
Flanders Make, Belgium
P. Dewangan
Affiliation:
Flanders Make, Belgium
G. Abedrabbo
Affiliation:
Flanders Make, Belgium
*
albert.rosich@flandersmake.be

Abstract

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This paper addresses the problem of finding a robust optimal design when uncertain parameters in the form of crisp or interval sets are present in the optimization. Furthermore, in order to make the approach as general as possible, direct search methods with the help of sensitivity analysis techniques are employed to optimize the design. Consequently, the presented approach is suitable for black box models for which no, or very little, information of the equations governing the model is available. The design of an electric drivetrain is used to illustrate the benefits of the proposed method.

Keywords

robust designdesign optimisationuncertaintymechatronics

Information

Type
Article
Information
Proceedings of the Design Society , Volume 2: DESIGN2022 , May 2022, pp. 1727 - 1736
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2022.

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