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Safe Model-Based Multivariable Control of Peritoneal Perfusion

  • Yejin Moon
  • , Behzad KadkhodaeiElyaderani
  • , Joshua Leibowitz
  • , Parham Rezaei
  • , Eman M. Abdelazim
  • , Morcos Awad
  • , Stephen Stachnik
  • , Shelby Stewart
  • , Joseph S. Friedberg
  • , Jin Oh Hahn
  • , Hosam K. Fathy
  • University of Maryland, College Park
  • University of Maryland
  • Temple University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

This paper examines the control of abdominal perfusion during medical interventions. The goal is to avoid safety risks such as excessive retained fluid volume, tissue damage/trauma, and intra-abdominal hypertension. The paper presents a perfusion system with peristaltic pumps dictating fluid inflow/outflow rates, and uses model-based control to avoid multiple safety risks simultaneously. Specifically, the paper: (i) introduces a discharge efficiency metric reflecting the risk of tissue trauma and/or outflow cavitation; (ii) identifies a dynamic model of discharge efficiency from animal test data; and, (iii) develops a safe perfusion control algorithm based on this model. The algorithm receives three user inputs: a desired inflow rate, a desired perfused volume, and a safety bound on discharge efficiency. The algorithm minimizes the deviation of the commanded inflow/outflow rates from a nonlinear model reference controller, subject to a barrier constraint on discharge efficiency. This furnishes a switching control structure providing convergence to the desired perfusion settings in the absence of outflow occlusion, and operating safely when outflow is occluded, as shown in simulation-based validation studies.

Original languageEnglish
Title of host publicationIFAC-PapersOnLine
EditorsMarcello Canova
PublisherElsevier B.V.
Pages301-306
Number of pages6
Edition3
ISBN (Electronic)9781713872344
DOIs
StatePublished - Oct 1 2023
Externally publishedYes
Event3rd Modeling, Estimation and Control Conference, MECC 2023 - Lake Tahoe, United States
Duration: Oct 2 2023Oct 5 2023

Publication series

NameIFAC-PapersOnLine
Number3
Volume56
ISSN (Electronic)2405-8963

Conference

Conference3rd Modeling, Estimation and Control Conference, MECC 2023
Country/TerritoryUnited States
CityLake Tahoe
Period10/2/2310/5/23

Keywords

  • Safe model reference control
  • barrier functions
  • biomedical devices
  • perfusion

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