Robust Design Optimization of Mechatronics Systems: Parallel Electric Drivetrain Application

DS 116: Proceedings of the DESIGN2022 17th International Design Conference

Year: 2022
Editor: Mario Štorga, Stanko Škec, Tomislav Martinec, Dorian Marjanović
Author: Albert Rosich, Carlos L
Series: DESIGN
Institution: Flanders Make, Belgium
Section: Artificial Intelligence and Data-Driven Design
Page(s): 1727-1736
DOI number: https://doi.org/10.1017/pds.2022.175
ISSN: 2732-527X (Online)

Abstract

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 design, design optimisation, uncertainty, mechatronics