Multiple modeling and fuzzy predictive control of a tubular heat exchanger system

WSEAS Transactions on Systems and Control

Volumn 3, Issue 4, 2008, Pages 249-258

  Mazinan, A H ^a   Sadati, N ^b  

^a ISLAMIC AZAD UNIVERSITY   (Iran)

^b SHARIF UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

Fuzzy generalized predictive control; Multiple models control approach; Operating environments; The best model identification; TSK fuzzy based modeling; Tubular heat exchanger system

Indexed keywords

FUZZY GENERALIZED PREDICTIVE CONTROL; MULTIPLE MODELS CONTROL APPROACH; OPERATING ENVIRONMENTS; THE BEST MODEL IDENTIFICATION; TSK FUZZY-BASED MODELING; TUBULAR HEAT EXCHANGER SYSTEM;

FUZZY CONTROL; HEAT EXCHANGERS; IDENTIFICATION (CONTROL SYSTEMS); PREDICTIVE CONTROL SYSTEMS;

MODEL PREDICTIVE CONTROL;

EID: 67749094759     PISSN: 19918763     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (44)

1. A. H. Mazinan, N. Sadati, Fuzzy multiple models predictive control of tubular heat exchanger, in Proc. of IEEE World Congress on Computational Intelligence, Hong Kong, June 2008.
2. L. Shaoyuan, X. Yugeng, Generalized predictive control with fuzzy soft constraints, in Proc. of IEEE Conference on Fuzzy Systems, Vol. 1, 2000, pp. 411-416.
3. J. B. Rawlings, Tutorial overview of model predictive control, IEEE Control Systems Magazine 20, Vol. 3, 2000, pp. 38-52.
4. B. Kouvaritakis, M. Cannon, Nonlinear predictive control-theory and practice, IEE Control Engineering Book Series 61, London, 2001.
5. A. Flores, D. Saez, J. Araya, M. Berenguel, A. Cipriano, Fuzzy predictive control of a solar power plant, IEEE Transactions on Fuzzy Systems 13, Vol. 1, 2005, pp. 58-68.
6. W. H. Chen, D. J. Balance, P. J. Gawthrop, J. J. Gribble, J. O'Reilly, Nonlinear PID predictive controller, IEE Proceedings-Control Theory and Applications 146, Vol. 6, 1999, pp. 603-611.
7. I. Lagrat, A. El Ougli, I Boumhidi, Optimal adaptive fuzzy control for a class of unknown nonlinear systems, WSEAS Transactions on Systems and Control, Issue 1, Vol. 3, 2008.
8. J. M. D. C. Sousa, U. Kaymak, Model prediction control using fuzzy decision functions, IEEE Transactions on System, Man and Cybernetics- part B: Cybernetics 31, Vol. 1, 2001, pp. 54-65.
9. F. Allgower, A. Zheng, Nonlinear Model Predictive Control, Birkhauser Verlag, Germany, 2000.
10. L. Xia, J. A. DeAbreu-Garcia, T. T. Hartley, Modeling and simulation of a heat exchanger, in Proc. of the IEEE International Conference on System Engineering, 1991, pp. 453-456.
11. J. Guerci, E. Feria, Multi-model predictive transform estimation, in Proc. of Aerospace and Electronics Conference, 1991, pp. 119-125.
12. L. Ning, L. Shao-Yuan, X. Yu-Geng, Multi-model predictive control based on the Takagi-Sugeno fuzzy models: a case study, in Proc. Of IEEE Conference Information Science, 2004, pp. 247-263.
13. N. Wang, A fuzzy PID controller for multi-model plant, in Proc. of IEEE Conference on Machine Learning and Cybernetics, 2002, pp. 1401-1406.
14. G. Qi-Gang, W. Dong-Feng, H. Pu, L. Bi-Hua, Multi-model GPC for steam temperature system of circulating fluidized bed boiler, in Proc. of IEEE International Conference on Machine Learning and Cybernetics, Vol. 2, 2003, pp. 906-911.
15. N. Sadati, M. Bagherpour, R. Ghadami, Adaptive multi-model CMAC-based supervisory control for uncertain MIMO systems, in Proc. of the 17th IEEE International Conference on Tools with Artificial Intelligence, Hong Kong, China, Nov. 2005, pp. 457-461.
16. R. Bakhshandeh, Multiple inputs multiple outputs adaptive predictive control of a tubular heat exchanger system, Electrical Engineering Department of the Sharif University of Technology, M. Sc. Thesis, 1994 [in Persian].
17. I. Skrjanc, D.Matko, Predictive functional control based on fuzzy model for Heat-Exchanger pilot plant, in Proc. of IEEE Transaction on Fuzzy Systems, Vol. 8, 2000, pp. 705-711
18. D. Matko, K. Kavsek-Biasizzo, I. Skrjanc, G. Music, Generalized predictive control of a thermal plant using fuzzy model, in Proc. Of the American Control Conference, Vol. 3, 2000, pp. 2053-2057.
19. N. Abe, K. Seki, H. Kanoh, Two degree of freedom internal model control for single tubular heat exchanger system, in Proc. of the IEEE International Symposium on Industrial Electronics, Vol. 1, 1996, pp. 260-265.
20. M. H. R. Fazlur Rahman, R. Devanathan, Feedback linearisation of a heat exchanger, in Proc. of the 33 rd IEEE International Conference on Decision and Control, Vol. 3, 1994, pp. 2936-2937.
21. M. H. R. Fazlur Rahman, R. Devanathan, Modeling and dynamic feedback linearization of a heat exchanger, in Proc. of the third IEEE International Conference on Control Applications, Vol. 3, 1994, pp. 1801-1806.
22. S. Kaboli, N. Sadati, A fuzzy approach to uncertainty principle in quantum theory, WSEAS Transactions on Systems, Issue 1, Vol. 3, January 2004
23. F. Rashidi, A. H. Mazinan, Modeling and control of three phase boost rectifiers via wavelet based neural network, WSEAS Transactions on Systems, Issue 2, Vol. 3, April 2004.
24. Y. S. N. Malleswararao, M. Chidambaram, Non-linear controllers for a heat exchanger, Journal of Process Control, Vol. 2, 1992, pp. 17-21.
25. M. Baldea, P. Daoutidis, Model reduction and control of reactor-heat exchanger networks, Journal of Process Control, Vol. 16, 2006, pp. 265-274.
26. J. D. Alvarez, L. J. Yebra, M. Berenguel, Repetitive control of tubular heat exchangers, Journal of Process Control, Vol. 17, 2007, pp. 689-701.
27. N. Sadati, A. Talasaz, Robust fuzzy multimodel control using variable structure system, in Proc. of IEEE Conference on Cybernetics and Intelligent Systems, Vol. 1, 2004, pp. 497-502.
28. N. Sadati, R. Ghadami, M. Bagherpour, Adaptive neural network multiple models sliding mode control of robotic manipulators using soft switching, in Proc. of the 17th IEEE International Conference on Tools with Artificial Intelligence, 2005, pp. 431-438.
29. Z. Ding, H. Leung, K. Chan, Model-Set adaptation using a fuzzy Kalman filter, in Proc. of the Third International IEEE Conference on Information Fusion, Vol. 1, 2000, pp. 2-9.
30. D. Saez, A. Cipriano, Design of fuzzy model based predictive controller and its application to an inverted pendulum, in Proc. of the sixth IEEE International Conference on Fuzzy Systems, Vol. 2, 1997, pp. 915-919.
31. M. L. Hadjili, V. Wertz, Fuzzy model-based predictive control, in Proc. of IEEE Decision and Control, Vol. 3, 1998, pp. 2927-2729.
32. D. W. Clarke, Application of generalized predictive control to industrial processes, IEEE Control Systems Magazine 8, 1988, pp. 49-55.
33. C. C. Hsiao, S. F. Su, T. T. Lee, C. C. Chuang, Hybrid compensation control for affine TSK fuzzy control systems, IEEE Transactions on System, Man and Cybernetics-part B: Cybernetics 34, Vol. 4, 2004, pp. 1865-1873.
34. J. M. Sousa, Optimization issues in predictive control with fuzzy objective functions, International Journal of Intelligent System, Vol. 15, 2000, pp. 879-899.
35. J. M. Zamarreno, P. Vega, Neural predictive control application to a highly nonlinear system, Engineering Applications of Artificial Intelligence, Vol. 12, 1999, pp. 149-158.
36. E. Ali, Heuristic on-line tuning for nonlinear model predictive controllers using fuzzy logic, Journal of Process Control 13, 2003, pp. 383-396.
37. Y. Cao, A formulation of nonlinear model predictive control using automatic differentiation, Journal of Process Control 15, 2005, pp. 851-858.
38. E. Franco, S. Sacone, T. Parisini, Practically stable nonlinear receding-horizon control of multi-model systems, in Proc. of IEEE Conference on Decision and Control, Vol. 3, 2004, pp. 3241-3246.
39. Z. San-Tong, W. Xue-Ye, Fuzzy adaptive Kalman filtering for DR/GPS, in Proc. Of IEEE Conference on Machine Learning and Cybernetics, Vol. 5, 2003, pp. 2634-2637.
40. J. A. Dickerson, Learning optimal fuzzy rules using simulated annealing, in Proc. of IEEE 39th Midwest symposium on Circuits and Systems, Vol. 2, 1996, pp. 575-578.
41. M. M. Arefi, A. Montazeri, J. Poshtan, M. R. Jahed-Motlagh, Nonlinear model predictive control of chemical processes with a Wiener identification approach, in Proc. of IEEE Conference on Industrial Technology, 2006, pp. 1735-1740.
42. A. Errahmani, H. Ouakka, M. Benyakhlef, I. Boumhidi, Decentralized adaptive fuzzy control for a class of nonlinear Systems, WSEAS Transactions on Systems and Control, Issue 8, Vol. 2, 2007.
43. Song-Shyong Chen, Yuan-Chang Chang, Adaptive Fuzzy Tracking Control of Nonlinear Systems, WSEAS Transactions on Systems and Control, Issue 12, Vol. 2, 2007.
44. Y. A. Cengel, R. H. Turner, Fundamentals of Thermal-Fluid, McGraw-Hill, 2004.