Robust model predictive control of a nuclear power plant pressurizer subsystem

Proceedings of the IASTED International Conference on Modelling, Identification, and Control, MIC

Volumn , Issue , 2006, Pages 167-172

  Peni T ^a   Varga, I ^a   Szederkenyi G ^a   Bokor, J ^a  

^a INSTITUTE OF EXPERIMENTAL MEDICINE   (Hungary)

Author keywords

Constrained control; Process control; Robust model predictive control

Indexed keywords

CONTROL THEORY; ELECTRIC POWER PLANTS; IDENTIFICATION (CONTROL SYSTEMS); NUCLEAR ENERGY; NUCLEAR INDUSTRY; NUCLEAR POWER PLANTS; POWER PLANTS; PREDICTIVE CONTROL SYSTEMS; ROBUST CONTROL;

CONSTRAINED CONTROL; DOMAIN BEHAVIORS; ENGINEERING PRINCIPLES; HARD CONSTRAINTS; INVARIANT SETS; LEVEL SETS; MEASURED DATUMS; MODEL PARAMETERS; PHYSICAL MODELS; ROBUST MODEL PREDICTIVE CONTROL; ROBUST MODEL PREDICTIVE CONTROLS; SIMULATION RESULTS; STATE VARIABLES; SUB SYSTEMS; TERMINAL SETS;

MODEL PREDICTIVE CONTROL;

EID: 53349084908     PISSN: 10258973     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

1. I. Kolmanovsky and E. G. Gilbert. Maximal output admissible sets for discrete-time systems with disturbance inputs. American Control Conference, 1995.
2. I. Kolmanovsky and E. G. Gilbert. Theory and computation of disturbance invarinat sets for discrete-time linear systems. Mathematical Problems in Engineering, 4:317-367, 1998.
3. W. Langson, I. Chryssochoos, S. V. Rakovic, and D. Q. Mayne. Robust model predictive control using tubes. Automatica, 40:125-133, 2004.
4. D. Q. Mayne, J. B. Rawlings, C. V. Rao, and P. O. M. Scoakert. Constrained model predictive control: Stability and optimality. Automatica, 36(3):789-814, 2000.
5. Paks Nuclear Power Plant. VVER - 440/213 - the primary circuit, 2005. http://www.npp.hu /mukodes /tipusok /primer-e.htm.
6. R. H. Perry and D. W. Green. Perry's Chemical Engineers' Handbook (7th edition). Mc Graw Hill, New York, 1999.
7. S. V. Rakovic, E. C. Kerrigan, K. Kouramas, and D. Q. Mayne. Approximation of the minimal robustly positively invariant set for discrete-time LTI systems with persistent state disturbances. 42th Conference on Decision and Control, 2003.
8. Z. Szabó, P. Gáspár, and J. Bokor. Reference tracking of Wiener systems using dynamic inversion. In 2005 International Symposium on Intelligent Control, Limassol, Cyprus, pages on CD, paper ID: WeA06.5. 2005.
9. I. Varga, G. Szederkényi, K.M. Hangos, and J. Bokor. Modeling and model identification of a pressurizer at the Paks Nuclear Power Plant. In 14th IFAC Symposium on System Identification, page (accepted). 2006.