Abstract
In this paper, a robust fuzzy digital PID control strategy, via multiobjective genetic algorithm, based on the gain and phase margins specifications, with applications to uncertain dynamic systems with time delay, is proposed. A multiobjective genetic strategy is defined to tune the fuzzy controller parameters, so the gain and phase margins of the fuzzy control system are close to the specified ones. Computational results show the efficiency of the proposed methodology through the accuracy in the gain and phase margins of the fuzzy PID control system compared to the specified ones and tracking of the reference trajectory compared to Ziegler-Nichols method.
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© 2012 Springer-Verlag Berlin Heidelberg
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Pires, D.S., Serra, G.L.d.O. (2012). Multiobjective Genetic Fuzzy PID Control Design for Uncertain Dynamic Systems. In: Pavón, J., Duque-Méndez, N.D., Fuentes-Fernández, R. (eds) Advances in Artificial Intelligence – IBERAMIA 2012. IBERAMIA 2012. Lecture Notes in Computer Science(), vol 7637. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34654-5_34
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DOI: https://doi.org/10.1007/978-3-642-34654-5_34
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-34653-8
Online ISBN: 978-3-642-34654-5
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