A Novel Methodology to obtain Optimal PI Controller Gains using Multi-gene Genetic Programming for FOPTD Systems

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@InProceedings{Pozo:2018:ETCM,

• author = "D. Pozo and L. Morales and D. Maldonado and J. Aguilar",
• booktitle = "2018 IEEE Third Ecuador Technical Chapters Meeting (ETCM)",
• title = "A Novel Methodology to obtain Optimal PI Controller Gains using Multi-gene Genetic Programming for FOPTD Systems",
• year = "2018",
• abstract = "This paper presents a novel method for tuning a PI controller for a first-order plus time delay (FOPTD) system based on a Multi-gene Genetic Programming (MGGP) and a Particle Swarm Optimization (PSO) algorithm. In our approach, the PSO establishes a set of optimal gains of the controller for a FOPTD system, based on the plant parameters. Then, the MGGP obtains the mathematical equations to estimate the optimal gains determined by PSO. Finally, to validate the methodology proposed, a group of random systems were selected and tested in MATLAB-SIMULINK, using the calculated equations, focused in its behaviour with respect to the maximum overshoot (Mp) and the Integral Square Error (ISE).",
• keywords = "genetic algorithms, genetic programming",
• DOI = "doi:10.1109/ETCM.2018.8580262",
• month = oct,
• notes = "AIngenieria en Tecnologias de la Informacion, Universidad De Las Americas, Quito, Ecuador lso known as \cite{8580262}",

}

Genetic Programming entries for D Pozo L Morales D Maldonado Jose Lisandro Aguilar Castro

Citations