Nuclear Engineering and Technology

Korean Nuclear Society (한국원자력학회)
권호 표지
DOI QR코드

DOI QR Code

Robust feedback-linearization control for axial power distribution in pressurized water reactors during load-following operation

  • Zaidabadi nejad, M. (Department of Nuclear Engineering, Faculty of Advanced Sciences and Technologies, University of Isfahan) ;
  • Ansarifar, G.R. (Department of Nuclear Engineering, Faculty of Advanced Sciences and Technologies, University of Isfahan)
  • Received : 2017.05.10
  • Accepted : 2017.10.24
  • Published : 2018.02.25
Download PDF
⟨ Previous Next ⟩

Abstract

Improved load-following capability is one of the most important technical tasks of a pressurized water reactor. Controlling the nuclear reactor core during load-following operation leads to some difficulties. These difficulties mainly arise from nuclear reactor core limitations in local power peaking: the core is subjected to sharp and large variation of local power density during transients. Axial offset (AO) is the parameter usually used to represent the core power peaking. One of the important local power peaking components in nuclear reactors is axial power peaking, which continuously changes. The main challenge of nuclear reactor control during load-following operation is to maintain the AO within acceptable limits, at a certain reference target value. This article proposes a new robust approach to AO control of pressurized water reactors during load-following operation. This method uses robust feedback-linearization control based on the multipoint kinetics reactor model (neutronic and thermal-hydraulic). In this model, the reactor core is divided into four nodes along the reactor axis. Simulation results show that this method improves the reactor load-following capability in the presence of parameter uncertainty and disturbances and can use optimum control rod groups to maneuver with variable overlapping.

Keywords

References

  1. H. Anglart, Nuclear Reactor Dynamics and Stability Lecture. Nuclear Reactor Technology, Department of Physics, School of Engineering Sciences, KTH, Stockholm, Sweden, 2011.
  2. G.R. Ansarifar, Control of the nuclear steam generators using adaptive dynamic sliding mode method based on the nonlinear model, Ann. Nucl. Energy 88 (2016) 280-300. https://doi.org/10.1016/j.anucene.2015.11.014
  3. G.R. Ansarifar, H.R. Akhavan, Sliding mode control design for a PWR nuclear reactor using sliding mode observer during load-following operation, Ann. Nucl. Energy 75 (2015) 611-619. https://doi.org/10.1016/j.anucene.2014.09.019
  4. R. Avery, Theory of coupled reactors, in: proceedings of the 2nd U.N. International conference peaceful uses at. Energy, 12, 1958, pp. 182-191.
  5. M. Boroushaki, M.B. Ghofrani, C. Lucas, M.J. Yazdanpanah, N. Sadati, Axial offset control of PWR nuclear reactor core using intelligent techniques, Nucl. Eng. Des. 227 (2004) 285-300. https://doi.org/10.1016/j.nucengdes.2003.11.002
  6. R. DeCarlo, S.H. Zak, G.P. Matthews, Variable structure control of nonlinear multivariable systems: a tutorial, IEEE Proc. 76 (1988) 212-232. https://doi.org/10.1109/5.4400
  7. Z. Dong, X. Huang, L. Zhang, A nodal dynamic model for control system design and simulation for an MHTGR core, Nucl. Eng. Des. 240 (2010) 1251-1261. https://doi.org/10.1016/j.nucengdes.2009.12.032
  8. H. Eliasi, M.B. Menhaj, H. Davilu, Robust nonlinear model predictive control for nuclear power plants in load-following operations with bounded xenon oscillations, Nucl. Eng. Des. 241 (2011) 533-543. https://doi.org/10.1016/j.nucengdes.2010.12.004
  9. David Hetrick, Dynamic of Nuclear Reactor, The University of Chicago press, 1965.
  10. M. Kobayashi, Multi-point Kinetics Equations Using Generalized Perturbation Theory: Physor Seoul, Korea, 2002.
  11. M. Komata, On the derivation of Avery's coupled reactor kinetics equations, Nucl. Scie Eng 38 (1969) 107-118.
  12. C.C. Kuan, C. Lin, C.C. Hsu, Fuzzy logic control of steam generator water level in pressurized water reactors, Nucl. Technol. 100 (1992) 125-134. https://doi.org/10.13182/NT92-A34758
  13. P. Ramaswamy, R.M. Edwards, K.Y. Lee, An automatic tuning method of fuzzy logic controller for nuclear reactors, IEEE Transact. Nucl. Sci. 40 (1993) 660-666.
  14. Russia Federal Agency on Nuclear Energy (RFANE), Final Safety Assessment Report (FSAR) for BNPP. Book 1, Moscow, 2005.
  15. Y.B. Shtessel, Sliding mode control of the space nuclear reactor system, IEEE Trans. Aerosp. Electron. Syst. 34 (1998) 579. https://doi.org/10.1109/7.670338
  16. P.J. Sipush, R.A. Keer, A.P. Ginsberg, T. Morita, L.R. Scherpereel, Load-follow demonstrations employing constant axial offset power-distribution control procedures, Nucl. Technol. 31 (1976) 12-31. https://doi.org/10.13182/NT76-A31695
  17. Jean-Jacques E. Slotine, Weiping Li, Applied Nonlinear Control, Prentice Hall, Upper Saddle River, NJ, 1991.
  18. J.J. Slotine, S.S. Sastry, Tracking control of nonlinear systems using sliding surfaces with application to robot manipulators, Int. J. Control. 38 (1984) 465-492.
  19. V.I. Utkin, Sliding Modes in Control Optimization, Springer, Berlin, 1992.
  20. P. Wang, Z. Chen, R. Zhang, J. Sun, Z. He, F. Zhao, X. Wei, Control simulation and study of load rejection transient for AP1000, Prog. Nucl. Energy 85 (2015) 28-43. https://doi.org/10.1016/j.pnucene.2015.05.008
  21. M. Zaidabadi nejad, G.R. Ansarifar, Adaptive robust control for axial offset in the P.W.R nuclear reactors based on the multipoint reactor model during load-following operation, Ann. Nucl. Energy 103 (2017) 251-264. https://doi.org/10.1016/j.anucene.2017.01.025

Cited by

  1. Performance improvement of direct torque control for induction motor drive via fuzzy logic-feedback linearization : Simulation and experimental assessment vol.38, pp.2, 2019, https://doi.org/10.1108/compel-04-2018-0183
  2. Load following control of a pressurized water reactor via finite-time super-twisting sliding mode and extended state observer techniques vol.241, pp.None, 2018, https://doi.org/10.1016/j.energy.2021.122836