The Transactions of the Korean Institute of Electrical Engineers A (대한전기학회논문지:전력기술부문A)

The Korean Institute of Electrical Engineers (대한전기학회)
권호 표지

A Design of Model Following Optimal Multivariable BOiler-Turbine H_\infty Control System using Genetic Algorithm

유전 알고리즘을 이용한 모델 추종형 최적 다변수 보일러-터빈 H_\infty제어 시스템의 세계

  • Published : 1999.02.01
Download PDF
⟨ Previous Next ⟩

Abstract

Multivarialbe Boiler-Turbine H_\infty Control System Genetic Algorithm Weighting Functions $W_1$(s), $W_2$(s), and design parameter $\gamma$ that are given by Glover-Doyle algorithm, to optimally follow the output of reference model. The first method to do this is that the gains of weighting functions $W_1$(s), $W_2$(s), and design parameter are optimized simultaneously by genetic algorithm with the tournament method that can search more diversely, in the search domain which guarantees the robust stability of system. And the second method is that not only by genetic algorithm with the roulette-wheel method that can search more fast, in that search domain. The boiler-turbine H_\infty control system designed by theabove second method has not only the robust stability to a modeling error but also the the better command tracking preformance than those of the H_\infty control system designed by trial-and-error method and the above first method. Also, this boiler-turbine H_\infty control system has the better performance than that of the LQG/LTR contro lsystem. The effectiveness of this boiler-turbineH_\infty control system is verified by computer simulation.

Keywords

References

  1. Genetic Algorithms in Search, Optimization, and Machine Learning D. E. Goldberg
  2. IEEE Trans. on Fuzzy Systems v.1 no.1 Fuzzy Control of pH Using Genetic Algorithms C. L. Karr;E. J. Gentry
  3. IEEE Trans. on Fuzzy Systems v.3 no.2 Simultaneous Design of Membership Functions and Rule Sets for Fuzzy Controllers Using Genetic Algorithms A. Homaifar;E. McCormick
  4. IEEE Trans. on Fuzzy System, Man, and Cybernetics v.24 no.1 Genetic-Based New Fuzzy Reasoning Models with Application to Fuzzy Control D. Park;A. Kandel;G. Langholz
  5. IEEE Trans. Auto. Control v.26 no.2 Feedback and Optimal Sensitivity : Model Reference Transformations, Multiplicative Seminorms and Approximate Inverses G. Zames
  6. Systems & Control Letters v.11 State-Space Formulate for All Stabilizing Controllers That Satisfy An $H_{\infty}$-norm Bound and Relations to Risk Sensitivity K. Glover;J. C. Doyle
  7. Int. J. Control v.47 no.4 Optimal Sensitivity Bound Estimation and Controller Design F. B. Yeh;T. S. Hwang
  8. Journal of Guidance, Control and Dynamics v.17 no.3 Experimental Design of $H_{\infty}$ Weighting Functions for Flight Control Systems C. D. Yang;H. S. Ju;S. W. Liu
  9. Robust Control and Control System Toolbox for MATLAB A. Gace;A. J. Laub;J. N. Little;C. M. Thompson
  10. IEEE Control Systems μ-Synthesis Control for a Walking Robot S. Pannu;H. Kazerooni;G. Becker;A. Packard
  11. Control System Design Using Matlab B. Shahian;M. Hassul
  12. Multivariable Feedback Design J. M. Maciejowski
  13. Trans. KIEE v.46 no.7 A Design on Model Following $H_{\infty}$ Control System for Optimal Fuel-Injection of Diesel Engine Using Genetic Algorithms H. J. Hwang;D. W. Kim;J. H. Park;C. S. Hwang
  14. Trans. IEEE Korea Council v.1 no.1 A Study on Design of Optimal Satellite-Tracking Antenna $H_{\infty}$ Control System D. W. Kim;H. S. Jeong;H. J. Hwang
  15. Trans. KIEE v.39 no.2 Design of a Boiler-Turbine Control System Using a Modified LQG/LTR Method W. H. Kwon;S. W. Kim;P. G. Park;E. K. Kim
  16. Report TFRT-3192, Lund Institute of Technology Dynamic Models for Boiler-Turbine-Alternators Units: Data Logs and Parameters Estimation for a 160MW Unit R. B. Bell;K. J. Astrom
  17. Feedback Control Theory J. C. Doyle;B. A. Francis;A. R. Tannenbaum
  18. Automatic Control Systems B. C. Kuo