Adaptive fuzzy model based predictive control of nuclear steam generators

Nuclear Engineering and Design

Volumn 237, Issue 6, 2007, Pages 668-676

  Eliasi, H ^a   Davilu, H ^a   Menhaj, M B ^a  

^a AMIRKABIR UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; FUZZY CONTROL; MATHEMATICAL MODELS; NUCLEAR POWER PLANTS; PREDICTIVE CONTROL SYSTEMS; REACTOR SHUTDOWNS; ROBUSTNESS (CONTROL SYSTEMS); TURBOMACHINE BLADES;

NUCLEAR STEAM GENERATORS; STEAM FLOWRATE CHANGES; TURBINE BLADES;

STEAM GENERATORS;

EID: 33846917163     PISSN: 00295493     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.nucengdes.2006.08.007     Document Type: Article

References (23)

1. Bezdek J.G. Pattern Reorganization with Fuzzy Objective Function Algorithm (1981), Plenum Press, New York
2. Choi, J.I., 1987. Nonlinear digital computer control for the steam generator system in a pressurized water reactor plant. Ph.D. dissertation. Massachusetts Inst. Technol., Cambridge.
3. Clarke D.W., and Scattolini R. Constrained receding horizon predictive control. IEE Proc.-D 138 July (4) (1991)
4. Clarke D.W., Mohtadi C., and Tuffs P.S. Generalized predictive control-Part I. Basic algorithm. Automatica 23 2 (1987) 137-148
5. Clarke D.W., Mohtadi C., and Tuffs P.S. Generalized predictive control-Part II. Extensions and interpretations. Automatica 23 2 (1987) 149-160
6. Garcia C.E., Prett D.M., and Morari M. Model predictive control: theory and practice-A survey. Automatica 25 3 (1989) 335-348
7. Huang Y.L., Lou H.H., Gong J.P., and Edgar T.F. Fuzzy model predictive. IEEE Trans. Fuzzy Syst. 8 December (6) (2000) 665-678
8. Isermann R., Lachmann K.-H., and Matko D. Adaptive Control System (1992), Prentice-Hall, Englewood Cliffs, NJ
9. Kothare M.V., Mettler B., Morari M., Bendotti P., and Falinower C.-M. Level control in the steam generator of a nuclear power plant. IEEE Trans. Contr. Syst. Technol. 8 January (2000) 55-69
10. Kuan C.C., Lin C., and Hsu C.C. Fuzzy logic control of steam generator water level in pressurized water reactors. Nucl. Technol. 100 October (1992) 125-134
11. Molov S., Babuska R., Roubos J.A., and Verbruggen H.B. MIMO predictive control by multiple-step linearization of Takagi-Sugeno fuzzy models. AIRTC Proceedings. Arizona, USA (1998)
12. Munasinghe S.R., Kim M.S., and Lee J.J. Adaptive neurofuzzy controller to regulate UTSG water level in nuclear power plants. IEEE Trans. Nucl. Sci. 52 February (1) (2005) 421-429
13. Na M.G. Auto-tuned PID controller using a model predictive control method for the steam generator water level. IEEE Trans. Nucl. Sci. 48 October (2001) 1664-1671
14. Na M.G. Design of a genetic-fuzzy controller for the nuclear steam generator water level control. IEEE Trans. Nucl. Sci. 45 August (1998) 2261-2271
15. Na M.G. Design of a steam generator water level controller via the estimation of the flow errors. Ann. Nucl. Energy 22 6 (1995) 367-376
16. Na M.G., and No H.C. Design of an adaptive observer-based controller for the water level of steam generators. Nucl. Eng. Des. 135 July (3) (1992) 379-394
17. Na M.G., and No H.C. Design of model reference adaptive control system for steam generators. Nucl. Eng. Des. 122 (1990) 301-311
18. Parlos A.G., Parthasarathy S., and Atiya A.F. Neuro-predictive process control using on-line controller adaption. IEEE Trans. Contr. Syst. Technol. 9 September (5) (2001)
19. Setnes M. Supervised fuzzy clustering for rule extraction. IEEE Trans. Fuzzy Syst. 8 4 (2000) 416-424
20. Strohmayer, W.H., 1982. Dynamic modeling of vertical U-tube steam generators for operational safety systems. Ph.D. dissertation. MIT, Cambridge, MA.
21. Takagi T., and Sugeno M. Fuzzy identification of systems and its application to modeling and control. IEEE Trans. Syst. Man Cyber. 15 January (1985) 116-132
22. Wertz V., and Yurkovich S. Nonlinear identification based on fuzzy models. In: Suykens J.A.K., and Vandewalle J. (Eds). Nonlinear Modeling, Adavanced Black Box Techniques (1998), Kluwer, Norwell, MA 149-176
23. Yager R.R., and Filev D.P. Approximation clustering via the mountain method. IEEE Trans. Syst. Man Cyber. 24 (1994) 1279-1284