arrow
Return

Multiobjective evolutionary algorithms for multivariable PI controller design

delete2012-07-01
delete37
delete
OA
AI
G
Gilberto Reynoso-Meza *
J
Javier Sanchis
X
Xavier Blasco
J
J.M. Herrero
DOI:10.1016/j.eswa.2012.01.111delete
deleteOriginal
deleteShare
deleteSave
View PDF
Abstract

Abstract

En 中文
A multiobjective optimisation engineering design (MOED) methodology for PI controller tuning in multivariable processes is presented. The MOED procedure is a natural approach for facing multiobjective problems where several requirements and specifications need to be fulfilled. An algorithm based on the differential evolution technique and spherical pruning is used for this purpose. To evaluate the methodology, a multivariable control benchmark is used. The obtained results validate the MOED procedure as a practical and useful technique for parametric controller tuning in multivariable processes. (C) 2012 Elsevier Ltd. All rights reserved.
Keywords:
Multiobjective optimisation
Controller tuning
PID tuning
Multiobjective evolutionary optimisation
Decision making
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Expert Systems with Applications cover
Expert Systems with Applications
IF:
7.5
Papers:
2.9W
Citations:
10.2W

Organization

U
Universitat Politecnica de Valencia
Scholars:
1.5W
Papers: 1.4W
Citations: 18