On the application of fuzzy predictive control based on multiple models strategy to a tubular heat exchanger system

Transactions of the Institute of Measurement and Control

Volumn 32, Issue 4, 2010, Pages 395-418

  Mazinan, A H ^a   Sadati, N ^b,c  

^a ISLAMIC AZAD UNIVERSITY   (Iran)

^b UNIVERSITY OF BRITISH COLUMBIA   (Canada)

^c SHARIF UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

fuzzy based predictive control; intelligent decision mechanism; multiple models strategy; operating environments; overall fuzzy based predictive model; tubular heat exchanger system

Indexed keywords

DISTURBANCE REJECTION; FLOW OF FLUIDS; FUZZY CONTROL; HEAT EXCHANGERS; MODEL PREDICTIVE CONTROL;

INTELLIGENT DECISIONS; MULTIPLE MODELS STRATEGY; OPERATING ENVIRONMENT; PREDICTIVE CONTROL; PREDICTIVE MODELING; TUBULAR HEAT EXCHANGERS;

PREDICTIVE ANALYTICS;

EID: 77955865148     PISSN: 01423312     EISSN: None     Source Type: Journal    
DOI: 10.1177/0142331209345153     Document Type: Article

References (45)

1. Abe, N., Seki, K. and Kanoh, H. 1996: Two degree of freedom internal model control for single tubular heat exchanger system. Proceedings of the IEEE International Symposium on Industrial Electronics 1, 260-265.
2. Allgower, F. and Zheng, A. 2000: Nonlinear model predictive control. Birkhauser Verlag.
3. Azman, K. and Kocijan, J. 2008: Non-linear model predictive control for models with local information and uncertainties. Transactions of the Institute of Measurement and Control 30, 371-396.
4. Bakhshandeh, R. 1994: Multiple inputs-multiple outputs adaptive predictive control of a tubular heat exchanger system. M.Sc. thesis, Electrical Engineering Department, Sharif University of Technology [in Persian].
5. Bavdaz, G. and Kocijan, J. 2007: Fuzzy controllerfor cement raw material blending. Transactions of the Institute of Measurement and Control 29, 17-34.
6. Camacho, E.F. and Bordons, C. 2002: Model predictive control. Springer-Verlag.
7. Cengel, Y.A. and Turner, R.H. 2004: Fundamentals of thermal fluid sciences. second edition. McGraw-Hill.
8. Clarke, D.W. 1988: Application of generalized predictive control to industrial processes. IEEE Control Systems Magazine 49-55.
9. Clarke, D.W. and Mohtadi, C. 1989: Properties of generalized predictive control. Automatica 25, 859-875.
10. Clarke, D.W., Mohtadi, C. and Tuffs, P.S. 1987 a: Generalized predictive control -part I. The basic algorithm. Automatica 23, 137-148. (Pubitemid 17600158)
11. Clarke, D.W., Mohtadi, C. and Tuffs, P.S. 1987 b: Generalized predictive control -part II. Extensions and interpretations. Automatica 23, 149-160. (Pubitemid 17600157)
12. Duan, G. and Huang, L. 2008: Robust model following control for a class of second-order dynamical system subject to parameter uncertainties. Transactions of the Institute of Measurement and Control 30, 115-142.
13. Fazlur Rahman, M.H.R. and Devanathan, R. 1994 a: Feedback linearisation of a heat exchanger. Proceedings of the 33rd IEEE International Conference on Decision and Control 3, 2936-2937.
14. Fazlur Rahman, M.H.R. and Devanathan, R. 1994 b: Modeling and dynamic feedback linearization of a heat exchanger. Proceedings of the Third IEEE International Conference on Control Applications 3, 1801-1806.
15. Flores, A., Saez, D., Araya, J., Berenguel, M. and Cipriano, A. 2005: Fuzzy predictive control of a solar power plant. IEEE Transactions on Fuzzy Systems 1, 58-68.
16. Franco, E., Sacone, S. and Parisini, T. 2004: Practically stable nonlinear receding-horizon control of multi-model systems. Proceedings of the IEEE Conference on Decision and Control 3, 3241-3246.
17. Gadkar, K.G., Doyle III, F.J., Crowley, T.J. and Varner, J.D. 2003: Cybernetic model predictive control of a continuous bioreactor with cell recycle. Biotechnology Progress 19, 1487-1497.
18. Guerci, J. and Feria, E. 1991: Multi-model predictive transform estimation. Proceedings of the Aerospace and Electronics Conference 119-25.
19. Hadjili, M.L., Wertz, V. and Scorletti, G. 1998: Fuzzy model-based predictive control. Proceedings of IEEE Decision and Control 3, 2927-2929.
20. Herman, P. and Franelak, D. 2008: Robust tracking controller with constraints using generalized velocity components for manipulators. Transactions of the Institute of Measurement and Control 30, 101-113.
21. Honc, D. and Dusek, F. 2007: T-polynomial in generalized predictive control. Technical Computing Prague, S. 55 (Sborník).
22. Huang, S., Tan, K.K. and Lee, T.H. 2002: Applied predictive control. Springer-Verlag.
23. Matko, D., Kavsek-Biasizzo, K., Skrjanc, I. and Music, G. 2000: Generalized predictive control of a thermal plant using fuzzy model. Proceedings of the American Control Conference 3, 2053-2057. (Pubitemid 32028319)
24. Mazinan, A.H. and Sadati, N. 2008 a: Fuzzy multiple models predictive control of tubular heat exchanger. Proceedings of the IEEE World Congress on Computational Intelligence 1845-52.
25. Mazinan, A.H. and Sadati, N. 2008 b: Multiple modeling and fuzzy predictive control of a tubular heat exchanger system. Transactions on Systems and Control 3, 249-258.
26. Mazinan, A.H. and Sadati, N. 2008 c: Fuzzy multiple modeling and fuzzy predictive control of a tubular heat exchanger system. International Conference on Application of Electrical Engineering 77-81.
27. Mazinan, A.H. and Sadati, N. 2008 d: Fuzzy multiple modeling and fuzzy predictive control of a tubular heat exchanger system. International Conference on Robotics, Control and Manufacturing Technology 93-97.
28. Mazinan, A.H. and Sadati, N. 2009 a: Fuzzy predictive control based multiple models strategy for a tubular heat exchanger system. Applied Intelligence, Springer, in press, Online available since 4 February 2009a, DOI 10.1007/s10489-009-0163-1.
29. Mazinan, A.H. and Sadati, N. 2009 b: An intelligent multiple models based predictive control with its application to industrial tubular heat exchanger system. Applied Intelligence, Springer, in press, 2009 b, DOI 10.1007/s10489-009-0185-8.
30. Mazinan, A.H., Sadati, N. and Ahmadi-Noubari, H. 2009: A case study for fuzzy adaptive multiple models predictive control strategy. Proceedings of the IEEE World Symposium on Industrial Electronics 1172-1177.
31. Munoz-Hernández, G.A. and Jones, D.I. 2007: Simulation studies of a GPC controller for a hydroelectric plant. Transactions of the Institute of Measurement and Control 35-51.
32. Ning, L., Shao-Yuan, L. and Yu-Geng, X. 2004: Multi-model predictive control based on the Takagi-Sugeno fuzzy models: a case study. Proceedings of the IEEE Conference on Information Science 247-63.
33. Qi-Gang, G., Dong-Feng, W., Pu, H. and Bi-Hua, L. 2003: Multi-model GPC for steam temperature system of circulating fluidized bed boiler. Proceedings of the IEEE International Conference on Machine Learning and Cybernetics 2, 906-911.
34. Rawlings, J.B. 2000: Tutorial overview of model predictive control. IEEE Control Systems Magazine 3, 38-52.
35. Sadati, N. and Talasaz, A. 2004: Robust fuzzy multimodel control using variable structure system. Proceedings of the IEEE Conference on Cybernetics and Intelligent Systems 1, 497-502.
36. Sadati, N., Bagherpour, M. and Ghadami, R. 2005 a: Adaptive multi-model CMAC-based supervisory control for uncertain MIMO systems. Proceedings of the 17th IEEE International Conference on Tools with Artificial Intelligence, Hong Kong, November, 457-61.
37. Sadati, N., Ghadami, R. and Bagherpour, M. 2005 b: Adaptive neural network multiple models sliding mode control of robotic manipulators using soft switching. Proceedings of the 17th IEEE International Conference on Tools with Artificial Intelligence, Hong Kong, November, 431-438.
38. Saez, D. and Cipriano, A. 1997: Design of fuzzy model based predictive controller and its application to an inverted pendulum. Proceedings of the Sixth IEEE International Conference on Fuzzy Systems 2, 915-919.
39. Saha, P., Krishnan, S.H., Rao, V.S.R. and Patwardhan, S.C. 2004: Modeling and predictive control of MIMO nonlinear systems using Wiener-Laguerre models. Chemical Engineering, Communications 8, 1083-1120.
40. Skrjanc, I. and Matko, D. 2000: Predictive functional control based on fuzzy model for heat-exchanger pilot plant. IEEE Transaction on Fuzzy Systems 8, 705-711.
41. Sousa, J.M. 2000: Optimization issues in predictive control with fuzzy objective functions. International Journal of Intelligent System 15, 879-899.
42. Sousa, J.M.D.C. and Kaymak, U. 2001: Model prediction control using fuzzy decision functions. IEEE Transactions on System, Man and Cybernetics -part B: Cybernetics 1, 54-65.
43. Wang, N. 2002: A fuzzy PID controller for multi-model plant. Proceedings of the IEEE Conference on Machine Learning and Cybernetics 1401-1406.
44. Xia, L., DeAbreu-Garcia, J.A. and Hartley, T.T. 1991: Modeling and simulation of a heat exchanger. Proceedings of the IEEE International Conference on System Engineering 453-56.
45. Zamarreno, J.M. and Vega, P. 1999: Neural predictive control application to a highly nonlinear system. Engineering Applications of Artificial Intelligence 12, 149-158.