Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/16808
Título: | Multivariable nonlinear advanced control of copolymerization processes |
Autor(es): | Lima, N. M. N. Liñan, Lamia Zuñiga Manenti, Flavio Filho, Rubens Maciel Embiruçu, Marcelo Ferreira, Eugénio C. Maciel, Maria R. Wolf |
Palavras-chave: | Nonlinear model-based multivariable predictive control Nonlinear system identification Fuzzy dynamic model Copolymerization |
Data: | 2010 |
Editora: | Elsevier 1 |
Resumo(s): | A reliable multivariable model of a process is a fundamental prerequisite for the design of an efficient control strategy. Though, such a model is often very hard to obtain via a first-principles approach. The development of two fuzzy model-based multivariable nonlinear predictive control schemes and their implementation on a copolymerization process are described in this paper. Multi-input/single-output models are developed using fuzzy logic and combined to form a parallel system model for simulation and online prediction. The behavior of the outlined controllers were compared to the dynamic matrix control (DMC) and to a typical nonlinear model-based predictive control (NMPC) for regulatory problem and the obtained results showed the effectiveness of the proposed structures. |
Tipo: | Artigo em ata de conferência |
URI: | https://hdl.handle.net/1822/16808 |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
Aparece nas coleções: | CEB - Artigos em Livros de Atas / Papers in Proceedings |