Multiobjective evolutionary algorithms for multivariable PI controller design

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...

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Bibliographic Details
Authors: Reynoso Meza, Gilberto, Sanchís Saez, Javier|||0000-0001-9697-2696, Blasco, Xavier|||0000-0002-9737-2833, Herrero Durá, Juan Manuel|||0000-0003-1914-7494
Format: article
Publication Date:2012
Country:España
Institution:Universitat Politècnica de València (UPV)
Repository:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Language:English
OAI Identifier:oai:riunet.upv.es:10251/50835
Online Access:https://riunet.upv.es/handle/10251/50835
Access Level:Open access
Keyword:Multiobjective optimisation
Controller tuning
PID tuning
Multiobjective evolutionary optimisation
Decision making
INGENIERIA DE SISTEMAS Y AUTOMATICA
Description
Summary: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.

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