Modeling and digital control of the liquid level of a pilot plant, using the firefly algorithm
DOI:
https://doi.org/10.33448/rsd-v10i9.18166Keywords:
Bioinspired algorithms; Control; Optimization; Pilot plant.Abstract
Control is of paramount importance for the industry, both for employee safety and for the economic side, through which it is possible to increase the quality of the final product and reduce costs. There are several ways to perform the control, one of them is through optimization methods and bioinspired algorithms such as the firefly colony algorithm, such methods minimize the error between the output signal of the controlled variable and the setpoint (desired value). This work aimed to perform and evaluate the efficiency of modeling and digital control of the liquid level of a pilot plant using the firefly colony algorithm. The results were obtained through simulations carried out in Scilab software and experiments in a pilot plant. The results indicated that for this type of system the firefly colony algorithm obtained high efficiency PI controllers, reconciling robustness, performance and no overshoot (maximum deviation of the controlled variable with the setpoint value).
References
Al-Thanoon, N. A., Qasim, O. S., & Algamal, Z. Y. (2018). Tuning parameter estimation in SCAD-support vector machine using firefly algorithm with application in gene selection and cancer classification. Computers in Biology and Medicine. 103, 262-268.
Araújo, A. P. (2015). Sintonia de Controladores de um Sistema Não-Linear com Aplicações na Indústria Petroquímica. [Trabalho de Conclusão de Curso em Engenharia Mecatrônica]. Universidade Federal do Rio Grande do Norte. Natal.
Bequette, B. W. (2003). Process Control. Modeling, Design, and Simulation. Prentice Hall.
Castrucci, P. L., Bittar, A., & Sales, R. M. (2011). Controle Automático. Ed. LTC.
CBIE. (2019). Como funciona a destilação do petróleo? https://cbie.com.br/artigos/como-funciona-a-destilacao-do-petroleo/
CIN-UFPE. (2016). Conversão Digital Analógico e Analógico Digital. https://www.cin.ufpe.br/~es238/arquivos/aulas/aula17_conversores_adda.pdf.
Correa, V. (2019). Projeto de Controlador PID Cascata em planta piloto, utilizando algoritmo de otimização Bio-inspirado. [Trabalho de Conclusão de Curso em Engenharia Química]. Universidade Federal do Triângulo Mineiro. Uberaba.
ENE-UNB. (2020). Sistemas Analógicos e Digitais. http://www.ene.unb.br/henrique/CDig/introdução.pdf.
FEIS-UNESP. (2013). Controle Digital. https://www.feis.unesp.br/Home/departamentos/engenhariaeletrica/lpc1672/controle-digital.pdf
Fonseca, P. (2018). Projeto e análise de controlador PI digital para o nível de líquido em uma planta piloto. [Trabalho de Conclusão de Curso em Engenharia Química]. Universidade Federal do Triângulo Mineiro. Uberaba.
Frankin, G. F, Workman, M. L., & Powell, D. (1997). Digital Control of Dynamic Systems. USA: Addison-Wesley Longman Publishing Co.
Goodwin, G. C., Graebe, S. F., & Salgado, M. E. (2001). Control System Design. Prentice-Hall.
Mohanty, D. K. (2015). Application of firefly algorithm for design optimization of a shell and tube heat exchanger from economic point of view. International
Journal of Thermal Sciences. 102, 228-238.
Mundo Educação. (s.d.). Amônia Artificial. https://mundoeducacao.uol.com.br/quimica/amonia-artificial.htm
Oficina Brasil. (2017). Sinais Analógicos e Digitais de um Sistema Embarcado: Visão Geral e Análise dos Sistemas Automotivos. https://www.oficinabrasil.com.br/noticia/tecnicas/sinais-analogicos-e-digitais-de-um-sistema-embarcado-visao-geral-e-analise-dos-sistemas-automotivos.
Ogata, K. (2010). Engenharia de controle moderno. Pearson Prentice Hall.
Pereira, A. S. et al. (2018). Metodologia da pesquisa científica. UFSM.
Seborg, D. E., Edgar, T. F., Mellichamp, D. A., & Doyle, F. J. (2011). Process dynamics and control. John Wiley and Sons.
Smith, C. A., & Corripio, A. B. (2008). Princípios e Práticas do Controle Automático de Processos, Ed. LTC.
Yang, X. S. (2010). Engineering Optimization: An Introduction With Metaheuristic Applications. John Wiley and Sons.
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