Multidisciplinary optimisation and controller tuning: an analysis with multi-objective techniques ⁎ 1This work is under the research initiative Multi-objective optimisation design (MOOD) procedures for engineering systems: Industrial applications, unmanned aerial systems and mechatronic devices, supported by the National Council of Scientific and Technological Development of Brazil (CNPq) through the grant PQ-2/304066/2016-8 and by MINECO and FEDER through the project CICYT HARCRICS (ref.DPI2014-58104-R).
Year: 2018
Type: article
Abstract: Multidisciplinary design optimisation (MDO) has shown to be a valuable tool for designers when different fields converge in the design phase. Where classical approaches perform a sequential optimisation procedure, it seeks to exploit synergies between interacting subsystems, with the aim of getting a better overall. In this paper, we analyse and compare three different MDO approaches considering the tuning of a Proportional-Integral (PI) controller and plant design simultaneously. As conflicting objectives might appear, we compare such approaches using multi-objective optimisation. With the provided example, advantages and drawbacks are highlighted, in order to provide an insight about the applicability of such approaches.
Source: IFAC-PapersOnLine
Language: English
Subfield: Computational Theory and Mathematics
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W2809422305