• Title/Summary/Keyword: Weighting Functions $W_1$(s) and $W_2$(s)

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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)

  • Hwang, Hyeon-Jun;Kim, Dong-Wan;Park, Jun-Ho;Hwang, Chang-Seon
    • The Transactions of the Korean Institute of Electrical Engineers A
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    • v.48 no.2
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    • pp.127-135
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    • 1999
  • 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.

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