Optimal control of an industrial-scale evaporation process: Sodium aluminate solution

Control Engineering Practice

Volumn 20, Issue 6, 2012, Pages 618-628

  Chai, Q Q ^a,b   Yang, C H ^a   Teo, K L ^b   Gui, W H ^a  

^a CENTRAL SOUTH UNIVERSITY   (China)

^b CURTIN UNIVERSITY   (Australia)

Author keywords

Alumina evaporation process; Numerical optimization algorithm; Optimal control; Smoothing technique; Time delay

Indexed keywords

ALUMINA EVAPORATION; EVAPORATION PROCESS; EVAPORATION SYSTEMS; LEAST ENERGY; MULTIPLE TIME DELAY; NUMERICAL ALGORITHMS; NUMERICAL OPTIMIZATION ALGORITHM; OPTIMAL CONTROL PROBLEM; OPTIMAL CONTROLS; SMOOTHING TECHNIQUES; SODIUM ALUMINATE SOLUTION; STATE SPACE MODEL;

ALGORITHMS; ALUMINA; CONTROL; DELAY CONTROL SYSTEMS; EVAPORATION; MATHEMATICAL MODELS; OPTIMAL CONTROL SYSTEMS; PHASE TRANSITIONS; SODIUM; STATE SPACE METHODS; TIME DELAY;

QUALITY CONTROL;

EID: 84859610528     PISSN: 09670661     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.conengprac.2012.03.001     Document Type: Article

References (21)

1. Chen Z.K., Chen H.W. New research on burden calculation for raw mix slurry in production of alumina with sintering process. World Nonferrous Metals 2004, 41-45.
2. Elhaq S.L., Giri F., Unbehauen H. Modelling identification and control of sugar evaporation theoretical design and experimental evaluation. Control Engineering Practice 1999, 7(8):931-942.
3. Hartley D.E., Murgatroyd W. Criteria for the break-up of thin liquid layers flowing isothermally over solid surfaces. International Journal of Heat and Mass Transfer 1964, 7(9):1003-1015.
4. Kam K.M., Tadé M.O. Nonlinear control of a simulated industrial evaporation system using a feedback linearization technique with a state observer. Industrial & Engineering Chemistry Research 1999, 38(8):2995-3006.
5. Kropholler H., Spikins D. Principles of control for chemical engineers. Chemical Process Engineering 1965, 3:558-567.
6. Loxton R.C., Teo K.L., Rehbock V. Optimal control problems with multiple characteristic time points in the objective and constraints. Automatica 2008, 44(11):2923-2929.
7. Miranda V., Simpson R. Modelling and simulation of an industrial multiple effect evaporator: tomato concentrate. Journal of Food Engineering 2005, 66(2):203-210.
8. Qin S.J., Badgwell T.A. A survey of industrial model predictive control technology. Control Engineering Practice 2003, 11(7):733-764.
9. Rangaiah G.P., Saha P., Tadé M.O. Nonlinear model predictive control of an industrial four-stage evaporator system via simulation. Chemical Engineering Journal 2002, 87(3):285-299.
10. Runyon C.H., Rumsey T.R., McCarthy K.L. Dynamic simulation of a nonlinear model of a double effect evaporator. Journal of Food Engineering 1991, 14(3):185-201.
11. Russell N.T., Bakker H.H.C., Chaplin R.L. A comparison of dynamic models for an evaporation process. Chemical Engineering Research and Design 2000, 78(8):1120-1128.
12. Sonntag C., Su W.J., Stursberg O., Engell S. Optimized start-up control of an industrial-scale evaporation system with hybrid dynamics. Control Engineering Practice 2008, 16(8):976-990.
13. Teo K.L., Goh C.J., Wong K.H. A unified computational approach to optimal control problems 1991, Longman Scientific and Technical, New York.
14. To L.C., Tadé M.O., Kraetzl M., Le Page G.P. Nonlinear control of a simulated industrial evaporation process. Journal of Process Control 1995, 5(3):173-182.
15. To L.C., Tadé M.O., Le Page G.P. Implementation of a differerntial geometric nonlinear controller on an industrial evaporator system. Control Engineering Practice 1998, 6:1309-1319.
16. Wang L.Y., Gui W.H., Teo K.L., Loxton R.C., Yang C.H. Time delayed optimal control problems with multiple characteristic time points: computation and industrial applications. Journal of Industrial and Management Optimization 2009, 5(4):705-718.
17. Winchester J.A., Marsh C. Dynamic and control of falling film evaporators with mechnical vapour recompression. Chemical Engineering Research and Design 1999, 77(5):357-371.
18. Wong K.H., Jennings L.S., Benyah F. Control parametrization method for free planning time optimal control problems with time-delayed arguments. Nonlinear Analysis 2001, 47(8):5679-5689.
19. Zavala V.M., Biegler L.T. The advanced-step NMPC controller: Optimality, stability and robustness. Automatica 2009, 45(1):86-93.
20. Zdravkovic, A., & Marsenic, N. (1992). Multiple effect evaporation station simulation and control. In IASETD conference ROC&RA. pp. 98-102.
21. Zdravkovic, A., Turajlic, S., & Marsenic, N. (1994). Fuzzy PI control algorithm for the multiple effect evaporation station. In Proceedings of the third IEEE conference on control applications, Glasgow, UK. pp. 677-682.