Robust control system design of crude oil atmospheric distillation column
DOI:
https://doi.org/10.15587/1729-4061.2015.50964Keywords:
distillation column, multi-component, linear-quadratic regulator, crude oil, automatic control systemAbstract
The robust control system of multi-component oil atmospheric distillation column was designed. Since the dynamics of the column can not be accurately modeled, a set of models, used at different design stages of the control system was developed. In the paper, the robustness of the control system means the preservation of its high quality when connecting any model of the developed set. The big advantage of the system is the fact that it is based on a multi-dimensional digital linear-quadratic regulator and the parameters that determine the material balance of the column are used as controlled variables. Such a system is easy to implement and can successfully replace traditional control systems of oil distillation columns and modern commercial control systems, which are based on model-predictive controllers popular in the global oil and gas industry.
References
- Seborg, D. E., Edgar, T. F., Doyle, F. J. (2011). Process Dynamics and Control. New York, NY: John Wiley & Sons, 528.
- Skogestad, S., Postlethwaite, I. (2001). Multivariable Feedback Control // Chichester, England: John Wiley & Sons, 572.
- Kwakernaak, H., Kwakernaak, H., Sivan, R. (1972). Linear Control Systems. New York, NY: John Wiley & Sons, 25.
- Doyle, J. (1978). Guaranteed margins for LQG regulators. IEEE Transactions on Automatic Control, 23 (4), 756–757. doi: 10.1109/tac.1978.1101812
- Razmjooy, N., Ramezani, M., Nazari, E. (2015). Using LQG/LTR optimal control method for car suspension system. SCRO research annual report, 3, 1–8.
- Kemaloglu, S., Kuzu, E. O., Gokce, D., Cetin, O. (2009). Model predictive control of a crude distillation unit an industrial application. Proc. of 7th IFAC International Symposium on Advanced Control of Chemical Processes, 880–885. doi: 10.3182/20090712-4-tr-2008.00144
- Hovland, S., Lovaas, C., Gravdahl, J. T., Goodwin, G. C. (2008). Stability of model predictive control based on reduced-order models. Proc. of 47th IEEE Conference on Decision and Control, 4067–4072. doi: 10.1109/cdc.2008.4738957
- Bemporad, A., Morari, M. (1999). Robust model predictive control: A survey. Robustness in identification and control (Lecture Notes in Control and Information Sciences), 245, 207–226. doi: 10.1007/bfb0109870
- Veremej, E. I., Eremeev, V. V., Sotnikova, M. V. Posobie "Model Predictive Control Toolbox". Available at: http://matlab.exponenta.ru/modelpredict
- Kanjanawanishkul, K. (2015). LQR and MPC controller design and comparison for a stationary self-balancing bicycle robot. Kybernetika, 51, 173–191. doi: 10.14736/kyb-2015-1-0173
- Stopakevych, A. O. (2013). Sistemnyj analiz i teoriya slozhnyx sistem upravleniya. Ukraine, Odessa: Astroprint, 352.
- Kautsky, J., Nichols, N. K., Van Dooren, P. (1985). Robust pole assignment in linear state feedback. International Journal of Control, 41 (5), 1129–1155. doi: 10.1080/0020718508961188
- Sivakumar, R., Mathew, S. (2013). Design and Development of Model Predictive Controller for Binary Distillation Column. International Journal of Science and Research (IJSR), 2, 445–451.
- Gonçalves, D. D., Martins, F. G., de Azevedo, S. F. (2010). Dynamic Simulation and Control: Application to Atmospheric Distillation Unit of Crude Oil Refinery. Proc. of 20th European Symposium on Computer Aided Process Engineering, 445–451.
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Copyright (c) 2015 Андрей Алексеевич Стопакевич
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