Comparative Analysis of Type-1 and Type-2 Fuzzy Controllers: Exploiting Synergies for Improved Control System Performance

Auteurs

  • Renato Aparecido Aguiar Centro Universitário FEI, Brazil
  • Ivan Carlos Franco Centro Universitário FEI, Brazil
  • Fabrizio Leonardi Centro Universitário FEI, Brazil

DOI :

https://doi.org/10.18540/jcecvl9iss4pp15936-01e

Mots-clés :

fuzzy controllers, type-2 fuzzy sets, Footprint of Uncertainty (FOU)

Résumé

The utilization of fuzzy controllers in control systems has gained significant attention in various fields due to their ability to handle complex and uncertain systems. This paper focuses on comparing the performance of two types of fuzzy controllers: type-1 fuzzy controller and type-2 fuzzy controller. While type-1 fuzzy controllers have been widely studied and applied, the advantages of type-2 fuzzy controllers in dealing with uncertain and ill-defined systems have garnered attention. A thorough analysis and comparison are conducted to investigate the practical benefits of type-2 fuzzy controllers. The study includes an overview of type-1 and type-2 fuzzy sets, followed by the design methodology for the two controllers. The designed controllers are implemented practically, and the results are analyzed and discussed. Previous research studies have shown the potential of type-2 fuzzy controllers to achieve superior performance compared to type-1 controllers. This paper contributes to the existing body of knowledge by presenting empirical evidence and practical insights into the performance of type-2 fuzzy controllers in real-world applications. The findings shed light on the benefits and limitations of utilizing type-2 fuzzy controllers, particularly in scenarios where system knowledge is limited or incomplete. The results of this study provide valuable guidance for control system designers and practitioners in selecting the most appropriate controller for their specific applications. Furthermore, the insights gained from this research contribute to the ongoing exploration and development of fuzzy control systems, enhancing their effectiveness in various domains.

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Biographie de l'auteur

Ivan Carlos Franco, Centro Universitário FEI, Brazil

Possui graduação em Engenharia Química pela Universidade Estadual do Oeste do Paraná – UNIOESTE (2003); Mestrado em Engenharia Química na área de desenvolvimento de processos químicos pela Universidade Estadual de Campinas DPQ/FEQ/UNICAMP (2007); Capacitação em Gerenciamento de Projetos pela Universidade Estadual de Campinas – UNICAMP (2008) e Doutorado em Engenharia Química pela Faculdade de Engenharia Química da Universidade Estadual de Campinas – UNICAMP (2012). Atuou de 2012 a 2014 como pesquisador colaborador no LCAP: Laboratório de Controle e Automação de Processos, DESQ/FEQ/UNICAMP e de 2014 a 2015 como Professor Doutor I MS3.1 na Faculdade de Engenharia de Alimentos da UNICAMP. Atualmente é Professor Adjunto I no Centro Universitário da FEI, Professor Convidado no IMT-Instituto Mauá de Tecnologia e pesquisador colaborador no LCAP/ DESQ/FEQ/UNICAMP. Tem experiência na área de Engenharia Química, com ênfase em Reatores Poliméricos, Modelagem e Simulação e Controle e Automação, atuando principalmente nos seguintes temas: polimerização via radical livre controlado, RAFT, Comunicação OPC, CLP, refrigeração industrial, IA (lógica fuzzy e neuro-fuzzy e redes neurais), Identificação de Sistemas, Controle e instrumentação.

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Publiée

2023-06-10

Comment citer

Aguiar, R. A., Franco, I. C., & Leonardi, F. (2023). Comparative Analysis of Type-1 and Type-2 Fuzzy Controllers: Exploiting Synergies for Improved Control System Performance. The Journal of Engineering and Exact Sciences, 9(4), 15936–01e. https://doi.org/10.18540/jcecvl9iss4pp15936-01e

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