MPC implementation in an heat exchanger using LabVIEW
Abstract
In the present paper the results obtained in the implementation of the based-model predictive controller (MPC) applied to an heat exchanger using LabVIEW of National Instruments is showed. A nominal model of heat exchanger was taking from literature. Taylor?s series expansion of the nominal equation around a naturally defined operating point by the system was applied to obtain a linear equation of the system of interest. Discrete algorithm control is implemented under software and it's runs online using NIDAQ6008 data acquisition board of National Instruments. Physics parameters estimation are experimental and supplier data. The algorithm implemented ensure the temperature regulation of the fluids that interact in the system.
Downloads
References
Afram, A. and Janabi-Sharifi, F. (2014). Theory and applications of hvac control systems–a review of model predictive control (mpc). Building and Environment, 72:343–355.
Astorga-Zaragoza, C.-M., Alvarado-Martínez, V.-M., Zavala-Río, A., Méndez-Ocaña, R.-M., and Guerrero-Ramírez, G.-V. (2008). Observer-based monitoring of heat exchangers. ISA transactions, 47(1):15–24.
Bequette, B. W. (2003). Process control: modeling, design, and si- mulation. Prentice Hall Professional.
Diehl, M., Uslu, I., Findeisen, R., Schwarzkopf, S., Allgöwer, F., Bock, H. G., Bürner, T., Gilles, E. D., Kienle, A., Schlöder, J. P., et al. (2001). Real-time optimization for large scale processes: Nonlinear model predictive control of a high purity distillation column. In Online optimization of large scale systems, pages 363– 383. Springer.
González, A. H., Odloak, D., Marchetti, J. L., and Sotomayor, O. (2006). Infinite horizon mpc of a heat-exchanger network. Che- mical Engineering Research and Design, 84(11):1041–1050.
Mercangöz, M. and Doyle III, F. J. (2007). Distributed model pre- dictive control of an experimental four-tank system. Journal of process control, 17(3):297–308.
Salem, F. and Mosaad, M. I. (2015). A comparison between mpc and optimal pid controllers: Case studies.
Sawant, P., Ho, E., and Pfafferott, J. (2020). Application and analy- sis of a model based controller for cooling towers in compression chiller plants. Heliyon, 6(2):e03249.
Sivakumar, R. and Mathew, S. (2013). Design and development of model predictive controller for binary distillation column. Inter- national Journal of Science and Research (IJSR), 2:445–451.
Thulukkanam, K. (2013). Heat exchanger design handbook. CRC press.
Wang, L. (2009). Model predictive control system design and imple- mentation using MATLAB®. Springer Science & Business Media. Weyer, E.,
Szederkényi, G., and Hangos, K. (2000). Grey box fault detection of heat exchangers. Control engineering practice,
(2):121–131.
Yilmazlar, E. and Kaplanoğlu, E. (2012). Design of the model predictive control education and application interface. Journal of Software Engineering and Applications, 5(9):677–681.
Zhang, B., Lin, F., Zhang, C., Liao, R., and Wang, Y.-X. (2020). De- sign and implementation of model predictive control for an open- cathode fuel cell thermal management system. Renewable Energy,154:1014–1024.
