Jeydson SILVA*, Davidson MARQUES, Ronaldo AQUINO, Otoni NÓBREGA*
DEE, Federal University of Pernambuco, Recife, Pernambuco, Brazil, 50740-530
firstname.lastname@example.org (*Corresponding author)
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ABSTRACT: In recent times, artificial intelligence applications in the field of dynamic systems control have proved to be an efficient tool for the improvement of processes. Programmable Logic Controller-based control systems are found in the vast majority of industrial automation systems. In this paper, a fuzzy controller approach is proposed to enhance the design of industrial control systems using commercial PLCs. The fuzzy controller is tuned by artificial intelligent techniques, and the performances of different fuzzy controller-tuning methods are compared, including the metaheuristic ones. The results shown in this paper validate the proposal that metaheuristics tuning methods of fuzzy controller have better performance in intelligent automation.
KEYWORDS: Artificial intelligence, Control systems, Industrial automation, PLC, Fuzzy, Metaheuristics.
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CITE THIS PAPER AS:
Jeydson SILVA, Davidson MARQUES, Ronaldo AQUINO, Otoni NÓBREGA, A PLC-based Fuzzy Logic Control with Metaheuristic Tuning, Studies in Informatics and Control, ISSN 1220-1766, vol. 28(3), pp. 265-278, 2019. https://doi.org/10.24846/v28i3y201903