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Mathematical Problems in Engineering
Volume 2014 (2014), Article ID 908526, 10 pages
http://dx.doi.org/10.1155/2014/908526
Research Article

Nonlinear Fuzzy Model Predictive Control for a PWR Nuclear Power Plant

State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, China

Received 22 March 2014; Accepted 7 May 2014; Published 2 June 2014

Academic Editor: Chengjin Zhang

Copyright © 2014 Xiangjie Liu and Mengyue Wang. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. R. M. Edwards, K. Y. Lee, and A. Ray, “Robust optimal control of nuclear reactors and power plants,” Nuclear Technology, vol. 98, no. 2, pp. 137–148, 1992. View at Google Scholar · View at Scopus
  2. R. M. Edwards, K. Y. Lee, and M. A. Schultz, “State feedback assisted classical control: an incremental approach to control modernization of existing and future nuclear reactors and power plants,” Nuclear Technology, vol. 92, no. 2, pp. 167–185, 1990. View at Google Scholar
  3. H. Arab-Alibeik and S. Setayeshi, “Improved temperature control of a PWR nuclear reactor using an LQG/LTR based controller,” IEEE Transactions on Nuclear Science, vol. 50, no. 1, pp. 211–218, 2003. View at Publisher · View at Google Scholar
  4. A. Ben-Abdennour, R. M. Edwards, and K. Y. Lee, “LQG/LTR robust control of nuclear reactors with improved temperature performance,” IEEE Transactions on Nuclear Science, vol. 39, no. 6, pp. 2286–2294, 1992. View at Publisher · View at Google Scholar
  5. Z. Dong, J. Feng, and X. Huang, “Nonlinear observer-based feedback dissipation load-following control for nuclear reactors,” IEEE Transactions on Nuclear Science, vol. 56, no. 1, pp. 272–285, 2009. View at Publisher · View at Google Scholar · View at Scopus
  6. H. Eliasi, M. B. Menhaj, and H. Davilu, “Robust nonlinear model predictive control for a PWR nuclear power plant,” Progress in Nuclear Energy, vol. 54, no. 1, pp. 177–185, 2012. View at Publisher · View at Google Scholar · View at Scopus
  7. C.-C. Ku, K. Y. Lee, and R. M. Edwards, “Improved nuclear reactor temperature control using diagonal recurrent neural networks,” IEEE Transactions on Nuclear Science, vol. 39, no. 6, pp. 2298–2308, 1992. View at Google Scholar
  8. P. Ramaswamy, R. M. Edwards, and K. Y. Lee, “Fuzzy logic controller for nuclear power plant,” in Proceedings of the 2nd International Forum on Applications of Neural Networks to Power Systems (ANNP '93), pp. 29–34, Yokohama, Japan, 1993. View at Publisher · View at Google Scholar
  9. X. J. Liu, P. Guan, and C. W. Chan, “Nonlinear multivariable power plant coordinate control by constrained predictive scheme,” IEEE Transactions on Control Systems Technology, vol. 18, no. 5, pp. 1116–1125, 2010. View at Publisher · View at Google Scholar · View at Scopus
  10. X.-J. Liu and C. W. Chan, “Neuro-fuzzy generalized predictive control of boiler steam temperature,” IEEE Transactions on Energy Conversion, vol. 21, no. 4, pp. 900–908, 2006. View at Publisher · View at Google Scholar · View at Scopus
  11. X. J. Liu and X. B. Kong, “Nonlinear fuzzy model predictive iterative learning control for drum-type boiler-turbine system,” Journal of Process Control, vol. 23, no. 8, pp. 1023–1040, 2013. View at Publisher · View at Google Scholar · View at Scopus
  12. M. G. Na, “Auto-tuned PID controller using a model predictive control method for the steam generator water level,” IEEE Transactions on Nuclear Science, vol. 48, no. 5, pp. 1664–1671, 2001. View at Publisher · View at Google Scholar
  13. M. G. Na, Y. R. Sim, and Y. J. Lee, “Design of an adaptive predictive controller for steam generators,” IEEE Transactions on Nuclear Science, vol. 50, no. 2, pp. 186–193, 2003. View at Google Scholar · View at Scopus
  14. M. V. Kothare, B. Mettler, M. Morari, P. Bendotti, and C.-M. Falinower, “Level control in the steam generator of a nuclear power plant,” IEEE Transactions on Control Systems Technology, vol. 8, no. 1, pp. 55–69, 2000. View at Publisher · View at Google Scholar · View at Scopus
  15. M. G. Na, I. J. Hwang, and Y. J. Lee, “Design of a fuzzy model predictive power controller for pressurized water reactors,” IEEE Transactions on Nuclear Science, vol. 53, no. 3, pp. 1504–1514, 2006. View at Publisher · View at Google Scholar · View at Scopus
  16. M. G. Na, S. H. Shin, and W. C. Kim, “A model predictive controller for nuclear reactor power,” Journal of the Korean Nuclear Society, vol. 35, no. 5, pp. 399–411, 2003. View at Google Scholar
  17. R. M. Edwards, K. Y. Lee, and A. Ray, “Robust optimal control of nuclear reactors and power plants,” Nuclear Technology, vol. 98, no. 2, pp. 137–148, 1991. View at Google Scholar
  18. J. Shi, J. Wang, and Y. Wang, “T-S fuzzy modeling for predicting chaotic time series based on unscented Kalman filter approach,” in Proceedings of the 8th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD '11), pp. 722–726, Shanghai, China, July 2011. View at Publisher · View at Google Scholar · View at Scopus
  19. Z. Zhang and Z. Sun, “T-S fuzzy model in discrete form and its application to identification of a plane manipulator with two degree of freedom,” in Proceedings of the IEEE International Conference on Intelligent Processing Systems (ICIPS '97), vol. 1, pp. 368–372, Beijing, China, October 1997. View at Scopus
  20. X. Luan, A. Young, W. Han, and Y. Zhai, “Load-following control of nuclear reactors based on Takagi-Sugeno fuzzy model,” in Proceedings of the 18th IFAC World Congress, pp. 8253–8258, Milano, Italy, September 2011. View at Publisher · View at Google Scholar · View at Scopus