Identificação e Controle de um Sistema de Troca de Calor entre Vapor e Líquido Saturado: uma Abordagem Híbrida

  • Pedro H. L. S. P. Domingues Departamento de Engenharia Mecânica, Pontifícia Universidade Católica do Rio de Janeiro, RJ
  • Marley M. B. R. Vellasco Departamento de Engenharia Elétrica, Pontifícia Universidade Católica do Rio de Janeiro, RJ
  • Ricardo Tanscheit Departamento de Engenharia Elétrica, Pontifícia Universidade Católica do Rio de Janeiro, RJ
Keywords: Systems Identification, Recurrent Neural Network, Echo State Networks, Multiobjective Optimization, Nondominated Sorting Genetic Algorithm II, Fuzzy Control

Abstract

The present work proposes i) the extraction of the dynamics of a liquid-saturated steam heat exchanger through a black-box approach, considering multiobjective optimization of an Echo State Network (ESN) hyperparameters based on performance and complexity metrics and ii) the application of a fuzzy control on the ESN obtained to follow a temperature trajectory. Results showed that the generated model can be controlled and, when compared with a model obtained in an approach with only performance optimization, a similar performance is achieved but with a significant model complexity reduction.
Published
2021-10-20
Section
Articles