Advantages of an easy to design fuzzy predictive algorithm in control systems of nonlinear chemical reactors

Applied Soft Computing Journal

Volumn 9, Issue 3, 2009, Pages 1111-1125

  Marusak, Piotr M ^a  

^a WARSAW UNIVERSITY OF TECHNOLOGY   (Poland)

Author keywords

Dynamic Matrix Control; Fuzzy control; Model predictive control; Nonlinear systems; Takagi Sugeno models

Indexed keywords

CONTROL PLANTS; DYNAMIC MATRIX CONTROL; FUZZY APPROACHES; FUZZY MODELING; INVERSE RESPONSE; MIMO PLANTS; MULTIPLE INPUT MULTIPLE OUTPUTS; NONLINEAR CHEMICAL REACTORS; PREDICTIVE ALGORITHMS; PREDICTIVE CONTROL ALGORITHMS; TAKAGI-SUGENO; TAKAGI-SUGENO MODELS;

ALGORITHMS; CELLULAR RADIO SYSTEMS; CHEMICAL REACTIONS; CHEMICAL REACTORS; CHEMICALS; FUZZY CONTROL; MODAL ANALYSIS; MODEL PREDICTIVE CONTROL; MULTIPLEXING; NONLINEAR SYSTEMS; PREDICTIVE CONTROL SYSTEMS; PROPORTIONAL CONTROL SYSTEMS; THREE TERM CONTROL SYSTEMS;

DELAY CONTROL SYSTEMS;

EID: 67349283102     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2009.02.013     Document Type: Article

References (35)

1. Abonyi J., Nagy L., and Szeifert F. Fuzzy model-based predictive control by instantaneous linearization. Fuzzy Sets and Systems 120 (2001) 109-122
2. Blažič S., and Škrjanc I. Design and stability analysis of fuzzy model-based predictive control-a case study. Journal of Intelligent and Robotic Systems 49 (2007) 279-292
3. Babuška R., te Braake H.A.B., van Can H.J.L., Krijgsman A.J., and Verbruggen H.B. Comparison of intelligent control schemes for real-time pressure control. Control Engineering Practice 4 (1996) 1585-1592
4. T.L. Blevins, G.K. McMillan, W.K. Wojsznis, M.W. Brown, Advanced Control Unleashed. (ISA, 2003).
5. Camacho E.F., and Bordons C. Model Predictive Control (1999), Springer-Verlag
6. Chen J., and Huang T.C. Applying neural networks to on-line updated PID controllers for nonlinear process control. Journal of Process Control 14 (2004) 211-230
7. Cutler C.R., and Ramaker B.L. Dynamic matrix control-a computer control algorithm. Proceedings of the Joint Automatic Control Conference. San Francisco, CA, USA (1980) paper no. WP5--B
8. Dougherty D., and Cooper D. A practical multiple model adaptive strategy for single-loop MPC. Control Engineering Practice 11 (2003) 141-159
9. Doyle F., Ogunnaike B.A., and Pearson R.K. Nonlinear model-based control using second-order Volterra models. Automatica 31 (1995) 697-714
10. Fink A., Fischer M., Nelles O., and Isermann R. Supervision of nonlinear adaptive controllers based on fuzzy models. Control Engineering Practice 8 (2000) 1093-1105
11. Fischer M., Nelles O., and Isermann R. Adaptive predictive control of a heat exchanger based on a fuzzy model. Control Engineering Practice 6 (1998) 259-269
12. Hu J.Q., and Rose R. Generalized predictive control using a neuro-fuzzy model. International Journal of Systems Science 30 (1999) 117-122
13. Hu Q., Saha P., and Rangaiah G.P. Experimental evaluation of an augmented IMC for nonlinear systems. Control Engineering Practice 8 (2000) 1167-1176
14. Kavšek-Biasizzo K., Škrjanc I., and Matko D. Fuzzy predictive control of highly nonlinear pH process. Computers and Chemical Engineering 21 (1997) S613-S618
15. Lakshmanan N.M., and Arkun Y. Estimation and model predictive control of non-linear batch processes using linear parameter varying models. International Journal of Control 72 (1999) 659-675
16. Leptič M., Škrjanc I., Chiacchiarini H.G., and Matko D. Predictive functional control based on fuzzy model: comparison with linear predictive functional control and PID control. Journal of Intelligent and Robotic Systems 36 (2003) 467-480
17. M. Ławryńczuk, P. Marusak, P. Tatjewski, Economic efficacy of multilayer constrained predictive control structures: an application to a MIMO neutralisation reactor, in: Proc. 11th IFAC/IFORS/IMACS/IFIP Symposium on Large Scale Systems: Theory and Applications (Gdańsk, Poland, 2007) CD-ROM, Paper No. 93.
18. Mahfouf M., Linkens D.A., and Abbod M.F. Adaptive fuzzy TSK model-based predictive control using a CARIMA model structure. Chemical Engineering Research and Design 78 (2000) 590-596
19. Maciejowski J.M. Predictive Control with Constraints (2002), Prentice Hall, Harlow
20. P. Marusak, Predictive control of nonlinear plants using dynamic matrix and fuzzy modeling (in Polish), Ph.D. Thesis, Department of Electronics and Information Technology, Warsaw University of Technology, 2002.
21. Marusak P. Advantages of an easy to design fuzzy predictive algorithm: application to a nonlinear chemical reactor. Proceedings of the 2nd International Multiconference on Computer Science and Information Technology. Wisła, Poland (2007) 327-336
22. Marusak P. Easily reconfigurable analytical fuzzy predictive controllers: actuator faults handling. Lecture Notes in Computer Science 5370 (2008) 396-405
23. Marusak P., and Tatjewski P. Fuzzy Dynamic Matrix Control algorithms for nonlinear plants. Proceedings of the 6th International Conference MMAR 2000. Miedzyzdroje, Poland (2000) 749-754
24. Marusak P., and Tatjewski P. Stability analysis of nonlinear control systems with unconstrained fuzzy predictive controllers. Archives of Control Sciences 12 (2002) 267-288
25. Mendonça L.F., Sousa J.M., and Sá da Costa J.M.G. Optimization problems in multivariable fuzzy predictive control. International Journal of Approximate Reasoning 36 (2004) 199-221
26. Mollov S., Babuška R., Abonyi J., and Verbruggen H.B. Effective optimization for fuzzy model predictive control. IEEE Transaction on Fuzzy Systems 12 (2004) 661-675
27. Rossiter J.A. Model-Based Predictive Control (2003), CRC Press, Boca Raton
28. Roubos J.A., Mollov S., Babuška R., and Verbruggen H.B. Fuzzy model-based predictive control using Takagi-Sugeno models. International Journal of Approximate Reasoning 22 (1999) 3-30
29. Sarimveis H., and Bafas G. Fuzzy model predictive control of non-linear processes using genetic algorithms. Fuzzy Sets and Systems 139 (2003) 59-80
30. Škrjanc I., and Matko D. Predictive functional control based on fuzzy model for heat-exchanger pilot plant. IEEE Transaction on Fuzzy Systems 8 (2000) 705-712
31. Škrjanc I., and Blažič S. Predictive functional control based on fuzzy model: design and stability study. Journal of Intelligent and Robotic Systems 43 (2005) 283-299
32. Takagi T., and Sugeno M. Fuzzy identification of systems and its application to modeling and control. IEEE Transaction on Systems, Man and Cybernetics 15 (1985) 116-132
33. Tatjewski P. Advanced Control of Industrial Processes; Structures and Algorithms (2007), Springer-Verlag, London
34. Valente de Oliveira J., and Lemos J.M. A comparison of some adaptive-predictive fuzzy-control strategies. IEEE Transaction on Systems, Man, and Cybernetics-Part C 30 (2000) 138-145
35. Venkateswarlu Ch., and Naidu K.V.S. Dynamic fuzzy model based predictive controller for a biochemical reactor. Bioprocess Engineering 23 (2000) 113-120