LQG/LTR Controller Design for Power Control of Small Pressurized Water Reactors Under Four Feedback-Controlled Strategies

References

• Z. LIU and J. FAN, “Technology Readiness Assessment of Small Modular Reactor (SMR) Designs,” Prog. Nucl. Energy, 70, 20 (2014); https://doi.org/10.1016/j.pnucene.2013.07.005.
   Web of Science ®Google Scholar
• T. KUSUNOKI et al., “Design of Advanced Integral-Type Marine Reactor, MRX,” Nucl. Eng. Des., 201, 2–3, 155 (2000); https://doi.org/10.1016/S0029-5493(00)00285-5.
   Web of Science ®Google Scholar
• M. D. CARELLI, “IRIS Final Technical Progress Report,” Westinghouse Electric Company (2003).
   Google Scholar
• D. LEE, “Introduction to B&W mPower Program,” presented at International Atomic Energy Agency Interregional Workshop, 2011.
   Google Scholar
• J. N. REYES and P. LORENZINI, “NuScale Power: A Modular, Scalable Approach to Commercial Nuclear Power,” Nucl. News, 53, 7, 97 (2010).
   Google Scholar
• S. I. CHANG and T. W. KERLIN, “A Systematic Procedure for Reactor Control System Design,” Nucl. Technol., 13, 3, 241 (1972); https://doi.org/10.13182/NT72-A31078.
   Web of Science ®Google Scholar
• T. MORITA et al., “Load-Follow Operation with the MSHIM Control System,” Trans. Am. Nucl. Soc., 56, 73 (1988).
   Google Scholar
• T. MORITA and W. R. CARLSON, “MSHIM Load Follow Operation in the Westinghouse AP600 Plant Design,” Proc. Topl. Mtg. Next Generation of Nuclear Power Plants, San Francisco, California, November 10, 1991.
   Google Scholar
• C. LIU et al., “Design and Optimization of Fuzzy-PID Controller for the Nuclear Reactor Power Control,” Nucl. Eng. Des., 239, 11, 2311 (2009); https://doi.org/10.1016/j.nucengdes.2009.07.001.
   Web of Science ®Google Scholar
• W. ZHANG et al., “Research on Fuzzy-PID Switch Controller Applied to Pressure Control of Once-Through Steam Generator,” Proc. Int. Conf. Electronics and Information Engineering, Kyoto, Japan, August 1–3, 2010, Vol. 2, p. V2–319, IEEE ( 2010).
   Google Scholar
• R. M. EDWARDS et al., “Robust Optimal Control of Nuclear Reactors and Power Plants,” Nucl. Technol., 98, 2, 137 (1992); https://doi.org/10.13182/NT92-A34669.
   Web of Science ®Google Scholar
• R. M. EDWARDS et al., “State Feedback Assisted Classical Control: An Incremental Approach to Control Modernization of Existing and Future Nuclear Reactors and Power Plants,” Nucl. Technol., 92, 2, 167 (1990); https://doi.org/10.13182/NT90-A34468.
   Web of Science ®Google Scholar
• A. BEN-ABDENNOUR et al., “LQG/LTR Robust Control of Nuclear Reactors with Improved Temperature Performance,” IEEE T. Nucl. Sci., 39, 6, 2286 (1992); https://doi.org/10.1109/23.211438.
   Web of Science ®Google Scholar
• H. ARAB-ALIBEIK and S. SETAYESHI, “Improved Temperature Control of a PWR Nuclear Reactor Using an LQG/LTR Based Controller,” IEEE T. Nucl. Sci., 50, 1, 211 (2003); https://doi.org/10.1109/TNS.2002.807860.
   Web of Science ®Google Scholar
• G. LI, “Modeling and LQG/LTR Control for Power and Axial Power Difference of Load-Follow PWR Core,” Ann. Nucl. Energy, 68, 193 (2014); https://doi.org/10.1016/j.anucene.2014.01.022.
   Web of Science ®Google Scholar
• G. LI and F. ZHAO, “Load Following Control and Global Stability Analysis for PWR Core Based on Multi-Model, LQG, IAGA and Flexibility Idea,” Prog. Nucl. Energy, 66, 80 (2013); https://doi.org/10.1016/j.pnucene.2013.03.015.
   Web of Science ®Google Scholar
• G. LI and F. ZHAO, “Multimodel-Based Power-Level Control with State-Feedback and Observer for Load-Follow PWR Core,” Ann. Nucl. Energy, 63, 696 (2014); https://doi.org/10.1016/j.anucene.2013.09.021.
   Web of Science ®Google Scholar
• K. SUZUKI et al., “Application of H∞ Control Theory to Power Control of a Nonlinear Reactor Model,” Nucl. Sci. Eng., 115, 2, 142 (1993); https://doi.org/10.13182/NSE92-112.
   Web of Science ®Google Scholar
• M. G. NA et al., “A Model Predictive Controller for Nuclear Reactor Power,” Nucl. Eng. Technol., 35, 5, 399 (2003).
   Google Scholar
• A. ETCHEPAREBORDA and J. LOLICH, “Research Reactor Power Controller Design Using an Output Feedback Nonlinear Receding Horizon Control Method,” Nucl. Eng. Des., 237, 3, 268 (2007); https://doi.org/10.1016/j.nucengdes.2006.04.002.
   Web of Science ®Google Scholar
• H. ELIASI et al., “Robust Nonlinear Model Predictive Control for Nuclear Power Plants in Load Following Operations with Bounded Xenon Oscillations,” Nucl. Eng. Des., 241, 2, 533 (2011); https://doi.org/10.1016/j.nucengdes.2010.12.004.
   Web of Science ®Google Scholar
• M. G. NA et al., “A Model Predictive Controller for Load-Following Operation of PWR Reactors,” IEEE T. Nucl. Sci., 52, 4, 1009 (2005); https://doi.org/10.1109/TNS.2005.852651.
   Web of Science ®Google Scholar
• Z. DONG et al., “Nonlinear Observer-Based Feedback Dissipation Load-Following Control for Nuclear Reactors,” IEEE T. Nucl. Sci., 56, 1, 272 (2009); https://doi.org/10.1109/TNS.2008.2010318.
   Web of Science ®Google Scholar
• J. WAN et al., “Conventional Controller Design for the Reactor Power Control System of Advanced Small Pressurized Water Reactor,” Nucl. Technol., 198, 1, 26 (2017); https://doi.org/10.1080/00295450.2017.1292822.
   Web of Science ®Google Scholar
• J. DOYLE and G. STEIN, “Multivariable Feedback Design: Concepts for a Classical Modern/Synthesis,” IEEE T. Automat. Contr., 26, 4 (1981); https://doi.org/10.1109/TAC.1981.1102555.
   Web of Science ®Google Scholar
• M. ATHANS, “A Tutorial on the LQG/LTR Method,” Proc. American Control Conf., Seattle, Washington, June 18, 1986, p. 1289, IEEE ( 1986).
   Google Scholar
• A. G. J. MACFARLANE, “Return-Difference and Return-Ratio Matrices and Their Use in Analysis and Design of Multivariable Feedback Control Systems,” Proc. Institution of Electrical Engineers, 117, 10, 2037 (1970); https://doi.org/10.1049/piee.1970.0367.
   Google Scholar