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Soft Computing

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08.08.2016 | Focus

Grey wolf optimization for PID controller design with prescribed robustness margins

verfasst von: P. B. de Moura Oliveira, Hélio Freire, E. J. Solteiro Pires

Erschienen in: Soft Computing | Ausgabe 11/2016

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Abstract

The grey wolf optimization algorithm is proposed to design proportional, integrative and derivative controllers using a two degrees of freedom control configuration. The control system is designed in order to achieve good set-point tracking and disturbance rejection performance. The design is accomplished by minimizing an aggregated cost function based on the time-weighted absolute error integral, subjected to robustness constraints. The control system robustness levels are prescribed in terms of the vector margin and maximum complementary sensitivity function values. Simulation results are presented for several common systems dynamics and compared with the ones obtained with a particle swarm optimization algorithm.

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Titel: Grey wolf optimization for PID controller design with prescribed robustness margins
verfasst von: P. B. de Moura Oliveira
Hélio Freire
E. J. Solteiro Pires
Publikationsdatum: 08.08.2016
Verlag: Springer Berlin Heidelberg
Erschienen in: Soft Computing / Ausgabe 11/2016
Print ISSN: 1432-7643
Elektronische ISSN: 1433-7479
DOI: https://doi.org/10.1007/s00500-016-2291-y

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