In this article a new procedure to tune robust PID controllers is presented. To tune the controller parameters a multiobjective optimization problem is formulated so the designer can consider conflicting objectives simultaneously without establishing any prior preference. Moreover model uncertainty, represented by a set of possible models, is considered. The multiobjective problem is solved with a specific evolutionary algorithm ( MOGA). Finally, an application to a non-linear thermal process is presented to illustrate the technique. © 2008 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Herrero, J. M., Blasco, X., Martínez, M., & Sanchis, J. (2008). Multiobjective tuning of robust PID controllers using evolutionary algorithms. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4974 LNCS, pp. 515–524). https://doi.org/10.1007/978-3-540-78761-7_57
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