Abstract
An advanced control concept, Predictive Functional Control (PFC), is applied for temperature control of a bench-scaled batch reactor equipped with monofluid heating/cooling system. First principles process models are developed. Based on achieved models, significant process variables, which are difficult or impossible to measure online, are estimated from easily measured variables, and cascade PFC control strategy has been projected and implemented in Matlab R14. The dynamics of individual subunits is explicitly taken into consideration by internal model in the control algorithms, and model uncertainty, various process disturbances are compensated by modification of internal model. The experimental results present an excellent capability of tracking the set point, and the success of PFC technique as a process control paradigm is illustratively demonstrated.
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References
Juba M R, Hammer J W. Progress and challenges in batch process control [M]. In proceedings of the Chemical Process Control (CPC’86), New York, Elsevier, 1986, (3), 139–183.
Berber R. Control of batch reactors: a review in methods of model based process control [M]. Kluwer Academic Publisher, Dordrecht, 1995, 459–493.
Qian X S. Engineering cybernetics [M]. Shanghai, Shanghai Jiaotong University Press, 2007.
Seider W, Seader J, Lewin D, Process design principles synthesis, analysis and evaluation [M]. New York: John Wiley & Sons, Inc., 1999.
Qin S, Badgwell T, A survey of industrial model predictive control technology [J]. Control Engineering Practice, 2003; 11/7: 733–764.
Defaye G, Regnier N, Chabanon J. Adaptive predictive temperature control of semi-batch reactors [J]. Chemical Engineering Science, 1993, 48(19): 3373–3382.
Ozkan G, Hapoglu H, Alpbaz M. Generalized predictive control of optimal temperature profiles in a polystyrene polymerization reactor [J]. Chemical Engineering and Processing, 1998; 37: 125–139.
Louleh Z, Cabassud M, Lann M V. A new strategy for temperature control of batch reactors: experimental application [J]. Chemical Engineering Journal, 1999, (75), 11–20.
Bouhenchir H, Cabassud M, Le Lann M, Casamatta G. A general simulation model and a heating-cooling strategy to improve controllability of batch reactors [J]. Trans IchemE, Part A, 2001, 79: 641–654
Bouhenchir H., Cabassud M., Lann M Le. Predictive functional control for the temperature control of a chemical batch reactor [J]. Computers and Chemical Engineering, 2006, (30); 1141–1154.
Bird R, Steuart W, Transport phenomena (2nd Edition) [M]. New York: John Wiley & Sons, Inc., 2002.
Baehr H, Stephan K. Waerme-und stoffuebertragung[M]. Auflage, Springer-Verlag, Berlin 1998.
Sun Y X, Shao H H. Control technique for industrial process -Applications [M]. Beijing, Chemical Industry Press, 2005.
Richalet J. Model predictive heuristic control: application to industrial processed [J]. Automatics, 1978, 14(4): 413–428.
Richalet J. Predictive functional control-application to fast and accurate robots[C]. IFAC 10th World Congress, Munich, FRG, 1987: 251–258.
Richalet J, Estival J, Fiani P. Industrial application of predictive functional control to metallurgical industries[C]. Proceedings of the 4th IEEE Conference on Control Application, Albany, NY, 1995; 9: 934–942.
Richalet J, O’Donovan D. Predictive functional control: principles and industrial applications [M]. Berlin: Springer Verlag, 2009
Richalet J. An introduction to the mathematics of model based predictive control [J]. Control Engineering Europe. 2003; 43–46.
Preis A. Eine elementare Einfuehrung in die praediktive Regelung [M]. Adersa, Palaiseau Cedex 2000.
Wagner W, Kruse A. Properties of water and steam: the industrial standard iapws-if97 [M]. Berlin, Spring Verlag, 1998.
Friedrich M, Perne R. Design and control of batch reactors: an industrial viewpoint [J]. Computers and Chemical Engineering, 1995, 19: 357–368.
Louleh Z, Cabassud M, Lann M V. A new strategy for temperature control of batch reactors: experimental application [J]. Chemical Engineering Journal, 1999, (75), 11–20.
Henini G, Souahi F, Laidani Y. Methodology of supervision by analysis of thermal flux for thermal conduction of a batch chemical reactor equipped with a monofluid heating/cooling system [J]. The Scientific World Journal, 2012.
Musulin E, Roda F, Basualdo M. A knowledge-driven approach for process supervision in chemical plants [J]. Computers and Chemical Engineering, 2013, (59), 164–177.
Balaton M G, Nagy L, Szeifert F. Jacket temperature control of a batch reactor using three different temperature levels [J]. Industrial & Engineering Chemistry Research, 2013, (52), 1939–1946.
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Financially supported by the Doctoral Fund of Ministry of Education of China (No. 20126101120015), Natural Science Foundation of Education Department of Shaanxi Provincial Government (2013JK0619)
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Teng, Hp., Song, Ym. Temperature control of bench-scaled batch reactor equipped with a monofluid heating/cooling system. J. Therm. Sci. 23, 187–195 (2014). https://doi.org/10.1007/s11630-014-0694-6
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DOI: https://doi.org/10.1007/s11630-014-0694-6