Abstract
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 (\(\epsilon \nearrow -\)MOGA). Finally, an application to a non-linear thermal process is presented to illustrate the technique.
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Herrero, J.M., Blasco, X., Martínez, M., Sanchis, J. (2008). Multiobjective Tuning of Robust PID Controllers Using Evolutionary Algorithms. In: Giacobini, M., et al. Applications of Evolutionary Computing. EvoWorkshops 2008. Lecture Notes in Computer Science, vol 4974. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78761-7_57
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DOI: https://doi.org/10.1007/978-3-540-78761-7_57
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