Nuclear Engineering and Technology

Korean Nuclear Society (한국원자력학회)
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Robust Design of Reactor Power Control System with Genetic Algorithm-Applied Weighting Functions

  • Published : 1998.08.01
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Abstract

The H$_{\infty}$ algorithms of the mixed weight sensitivity is used for the robust design of the reactor power control system. The mixed weight sensitivity method requires the selection of the proper weighting functions for the loop shaping in frequency domain. The complexity of the system equation and the non-convexity of the problem make it very difficult to determine the weighting functions. The genetic algorithm which is improved and hybridized with the simulated annealing is applied to determine the weighting functions. This approach permits an automatic calculation and the resultant system shows good robustness and performance.

Keywords

References

  1. Robust Control P. Dorato(Ed.)
  2. Applied Nonlinear Control J. E. Slotine;W. Li
  3. Linear Robust Control M. Green;D. J. N. Limebeer
  4. Multivariable Feedback Design J. M Maciejowski
  5. Int. J. of control v.50 Simplifying the H-Control Theory via Loop Shifting M. G. Safonov(et al.)
  6. Genetic Algorithm in Search, Optimization & Machine Learning D. E. Goldberg
  7. J. of KNS v.26 no.4 Control Rod Speed Design for Reactor Power Control Using Optimal Control Theory Y. J. Lee
  8. Procd. of ANS Topical Meeting on NPIC, Penn. State Univ. A Conceptual Design of the Digital Nuclear Power Control System by the Order Increased LQR Method Y. J. Lee
  9. J. of KNS v.29 no.4 Robust Controller Design for the Nuclear Reactor Power Control System Y. J. Lee;J. I. Choi
  10. J. of KNS v.29 no.1 Determination of Weighting Parameters of the LQR System for Nuclear Reactor Power Control Using the Stochastic Searching Methods Y. J. Lee;K. H. Cho
  11. J. of KSME v.17 no.5 Tool Path Optimization for NC Turret Operation Using Sumulated Annealing K. H. Cho;K. Lee
  12. MATLAB, (Ver 4.0) Math Work Inc.