Challenges and problems with advanced control and optimization technologies

IFAC Proceedings Volumes (IFAC-PapersOnline)

Volumn 7, Issue PART 1, 2009, Pages 1-8

  Campos, M ^a   Teixeira, H ^a   Liporace, F ^a   Gomes, M ^a  

^a PETROBRAS   (Brazil)

Author keywords

Advanced control system; Performance assessment; Real time optimization; Regulatory control

Indexed keywords

ENERGY UTILIZATION; GAS INDUSTRY; MODEL PREDICTIVE CONTROL; PETROLEUM REFINERIES; PREDICTIVE CONTROL SYSTEMS; PUBLIC UTILITIES;

ADVANCED CONTROL SYSTEMS; CONTROL PERFORMANCE ASSESSMENT; DETECTION AND DIAGNOSIS; OPERATIONAL RELIABILITY; PERFORMANCE ASSESSMENT; PROBLEMS AND CHALLENGES; REAL-TIME OPTIMIZATION; REGULATORY CONTROL;

PETROLEUM INDUSTRY;

EID: 79960944409     PISSN: 14746670     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3182/20090712-4-tr-2008.00003     Document Type: Conference Paper

References (20)

1. Alkaya, D. et al., Generalization of a Tailored Approach for Process Optimization, Ind. Eng. Chem. Res., Vol. 39, pp. 1731-1742, 2003.
2. Arruda, G.H.M. and Barros, P.R., Relay based gain and phase margins PI controller design, IEEE Transactions on Instrumentation and Measurement Technology, Vol. 52, n. 05, pp. 1548-1553, 2003
3. Bequette, B. W, Non-linear Model Predictive Control: A Personal Retrospective, The Canadian Journal of Chemical Engineering, Vol. 85, pp. 408-415, 2007. (Pubitemid 47389007)
4. Campos, M. and Teixeira, H., Controles típicos de equipamentos e processos industriais, Ed. Edgard Blücher, São Paulo, 2006.
5. Campos, M. et al., Ganhos econômicos devidos à melhoria no controle de uma planta de processamento de gás natural, IV Congresso Rio Automação 2007, IBP, Rio de Janeiro, 2007.
6. Cutler, C. R. and Perry, R. T., Real-time optimization with multivariable control is required to maximize profits, Computers and Chemical Engineering, Vol. 7 (5), pp. 663-667, 1983. (Pubitemid 14491583)
7. Ender, D., Process Control Performance: Not as good as you think, Control Eng., pp. 180, 1993.
8. Fang, X. et al., Mnemonic Enhancement Optimization (MEO) for Real-Time Optimization of Industrial Processes, Ind. Eng. Chem. Res., Vol. 48, pp. 499-509, 2009.
9. Farenzena, M. and Trierweiler, J., Fronteiras e desafios em gerenciamento de malhas de controle, In: COBEQ 2008 - Congresso Brasileiro de Engenharia Química, Recife, 2008.
10. Farenzena, M. et al., Using the Inference Model Approach to Quantify the Loop Performance and Robustness, SICOP 2006 - International Workshop on Solving Industrial Control and Optimization Problems, Gramado, 2006.
11. th European Symposium on Computer Aided Process Engineering, pp. 361-366, 2008.
12. Harris, Assessment of Control Loop Performance, The Can. J. of Chemical Engineering, Vol. 67, pp. 856-861, 1989.
13. Kempf, A., Avaliação de Desempenho de Malhas de Controle, Dissertação de Mestrado, Departamento Eng. Química, Universidade Federal do Rio Grande do Sul, UFRGS, 2003.
14. Kern, G., Summiting with multivariable predictive control, Hydrocarbon Processing, 2007
15. Ogata, K., Engenharia de Controle Moderno, Ed. Prentice/Hall do Brasil, 1982.
16. OPC Foundation, 2008, Site: , Accessed in 03/17/08.
17. Qin, S. and Badgwell, T., A survey of industrial model predictive control technology, Control Engineering Practice 11, pp. 733-764, 2003. (Pubitemid 36906334)
18. Schmidt et al., BR-Tuning Ferramenta para sintonia de controladores PID, Primeiro CICAP - Congresso de Instrumentação, Controle e Automação da PETROBRAS, May, Rio de Janeiro, 2008.
19. Trierweiler, J. and Farina, L., RPN tuning strategy for model predictive control, Journal of Process Control, Oxford-Inglaterra - Elsevier, Vol. 13, pp. 591-598, 2003.
20. Zanin, A. and Moro, L., Gestão da Automação Industrial no Refino, Rio Oil & Gás 2004, IBP, Rio de Janeiro, 2004.