• DocumentCode
    1383937
  • Title

    Structured genetic algorithm for robust H∞ control systems design

  • Author

    Tang, K.S. ; Man, K.F. ; Gu, D.-W.

  • Author_Institution
    Dept. of Electron. Eng., City Univ. of Hong Kong, Hong Kong
  • Volume
    43
  • Issue
    5
  • fYear
    1996
  • fDate
    10/1/1996 12:00:00 AM
  • Firstpage
    575
  • Lastpage
    582
  • Abstract
    A structured genetic algorithm (SGA) approach is developed for robust controller design based on the concept of an H∞ loop-shaping technique and the method of inequalities. Such an SGA is capable of simultaneously searching the orders and coefficients of the precompensator and postcompensator for the weighted plant. It is, therefore, not necessary to predefine the order of compensators as in usual practice. A multiple objective ranking approach is also incorporated so that the design criteria of extreme plants can be easily achieved. The effectiveness of such a technique is illustrated by a high-purity distillation column design example
  • Keywords
    H∞ control; chemical industry; closed loop systems; control system synthesis; distillation; genetic algorithms; process control; robust control; H∞ loop-shaping technique; chemical process control; distillation column; inequalities method; multiple objective ranking approach; postcompensator; precompensator; robust H∞ control systems design; structured genetic algorithm; Algorithm design and analysis; Constraint optimization; Control systems; Design optimization; Distillation equipment; Genetic algorithms; Robust control; Robustness; Time domain analysis; Uncertainty;
  • fLanguage
    English
  • Journal_Title
    Industrial Electronics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0278-0046
  • Type

    jour

  • DOI
    10.1109/41.538615
  • Filename
    538615