• DocumentCode
    837071
  • Title

    Microprocessor-based controller for pharmacodynamical applications

  • Author

    Koivo, Antti J.

  • Author_Institution
    Purdue University, West Lafayette, IN, USA
  • Volume
    26
  • Issue
    5
  • fYear
    1981
  • fDate
    10/1/1981 12:00:00 AM
  • Firstpage
    1208
  • Lastpage
    1213
  • Abstract
    To design an automatic drug delivery system for the purpose of keeping the output as close as possible to a desired value, the system input-output is first represented as an autoregressive model. A minimum variance controller is then designed to solve the control problem. The implementation of the controller is performed on a microprocessor. As a specific application, the control of the mean arterial blood pressure in dogs using a vasodilator drug is presented. An automated drug deliver system is constructed; it contains a microprocessor (Motorola 6800), A/D and D/A converters. The output of the microprocessor drives a pump, which injects the drug at an appropriate rate into the blood circulation of the dog. The algorithms for the microprocessor are based on the on-line parameter estimation and optimal controller equations. The resulting closed-loop system was tested on dogs using nitroprusside as the drug which decreases the blood pressure. The tests were performed over the range of 90-170 mm Hg of the mean arterial blood pressure and over time periods of 6-10 rain. The system constructed maintains the mean arterial blood pressure within ± 10 mHg from the desired constant value. Results from typical experiments are presented and discussed.
  • Keywords
    Autoregressive processes; Drug delivery systems; Optimal control, linear systems; Arterial blood pressure; Automatic control; Dogs; Drug delivery; Equations; Microprocessors; Optimal control; Parameter estimation; Pressure control; System testing;
  • fLanguage
    English
  • Journal_Title
    Automatic Control, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9286
  • Type

    jour

  • DOI
    10.1109/TAC.1981.1102788
  • Filename
    1102788