• DocumentCode
    1219820
  • Title

    Improvement in Arteral Oxygen Control Using Multiple-Model Adaptive Control Procedures

  • Author

    Yu, Clement ; He, W.G. ; So, James M. ; Roy, Rob ; Kaufman, Howard ; Newell, Jonathan C.

  • Author_Institution
    Department of Biomedical Engineering, Rensselaer Polytechnic Institute
  • Issue
    8
  • fYear
    1987
  • Firstpage
    567
  • Lastpage
    574
  • Abstract
    A computer-based proportional-integral (PI) controller has been developed to control arterial oxygen levels in mechanically ventilated animals. Arterial oxygen saturation is monitored using a noninvasive oximeter and control is effected by adjusting the inspired oxygen fraction. The performance of the feedback system is sensitive to the open-loop gain so that the desired transient specifications can be achieved only by empirical adjustments of the PI controller. Because the open-loop gain includes the animal´s response, it may vary with time and with the administration of positive end-expiratory pressure. Multiple-model adaptive control procedures were therefore used to desensitize the system to these variable gains. Computer simulations demonstrated the effectiveness of the algorithm over a wide variation of plant parameters. A comparison to a fixed, well-tuned proportional-integral controller showed an improvement in the regulatory response to a step disturbance. Animal experiments confirmed the feasibility of using multiple-model adaptive control to regulate arterial oxygen saturation.
  • Keywords
    Adaptive control; Animals; Computerized monitoring; Feedback; Mechanical variables control; Open loop systems; Oxygen; Performance gain; Pi control; Proportional control; Algorithms; Animals; Biomedical Engineering; Dogs; Feedback; Models, Biological; Oxygen; Respiration, Artificial;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/TBME.1987.326067
  • Filename
    4122593