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 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.This work was partially supported by the FPI-2010/19 grant and the project PAID-06-11 from the Universitat Politecnica de Valencia and the projects DPI2008-02133, TIN2011-28082 and ENE2011-25900 from the Spanish Ministry of Science and Innovation.Reynoso Meza, G.; Sanchís Saez, J.; Blasco Ferragud, FX.; Herrero Durá, JM. (2012). Multiobjective evolutionary algorithms for multivariable PI controller design. Expert Systems with Applications. 39(9):7895-7907. https://doi.org/10.1016/j.eswa.2012.01.111S7895790739

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