Robust predictive control of a gasoline debutanizer column

Autor(es)

E. Almeida Neto ^[1] ; M.A. Rodrigues ^[2] ; D. Odloak ^[3]

Afiliação do(s) autor(es)

^[1] Petrobras. Advanced Control Group, ABAST-REF

^[2] University of São Paulo. Chemical Engineering Department - Brasil

^[3] University of São Paulo. Chemical Engineering Department - Brasil

• Tipo de documento: Artigo Científico
• Fonte: Brazilian Journal of Chemical Engineering; v. 17, p. 967-978, 2000-12-00.

Resumo

This paper studies the application of Model Predictive Control to moderately nonlinear processes. The system used in this work is an industrial gasoline debutanizer column. The paper presents two new formulations of MPC: MMPC (Multi-Model Predictive Controller) and RSMPC (Robust Stable MPC). The approach is based on the concepts of Linear Matrix Inequalities (LMI), which have been recently introduced in the MPC field. Model uncertainty is considered by assuming that the true process model belongs to a convex set (polytope) of possible plants. The controller has guaranteed stability when a Lyapunov type inequality constraint is included in the MPC problem. In the debutanizer column, several nonlinearities are present in the advanced control level when the manipulated inputs are the reflux flow and the reboiler heat duty. In most cases the controlled outputs are the contents of C5+ (pentane and heavier hydrocarbons) in the LPG (Liquefied Petroleum Gas) and the gasoline vapor pressure (P VR). In this case the QDMC algorithm which is usually applied to the debutanizer column has a poor performance and stability problems reflected in an oscillatory behavior of the process. The new approach considers several process models representing different operating conditions where linear models are identified. The results presented here show that the multimodel controller is capable of controlling the process in the entire operating window while the conventional MPC has a limited operating range. (AU)

• Processo FAPESP: 98/14384-3 - Integração de processos químicos contínuos em tempo real
• Beneficiário: Rubens Maciel Filho
• Modalidade de apoio: Auxílio à Pesquisa - Temático
• Processo FAPESP: 96/08087-0 - Estabilidade robusta de controladores preditivos não-lineares
• Beneficiário: Marco Antônio Rodrigues
• Modalidade de apoio: Bolsas no Brasil - Doutorado