Comparing Closed-loop Control of Drug Infusion using MPC and PID

Tiro Setati, Willem Perold, Pieter Fourie, Daniel Withey

2022

Abstract

Continuous intravenous drug delivery can require careful dosage and the maintenance of consistent blood plasma concentration levels. Here, the closed-loop control of drug concentration in simulated patients’ bloodstreams was investigated. During the investigation, the closed-loop controller performance of a Proportional-Integral-Derivative (PID) and a Model Predictive Controller (MPC) were compared. From the simulation results, the MPC has shown to be a better controller because of its shorter settling time and smaller stepresponse overshoot, which are desirable in a clinical setting. However, the MPC has shown to be more resource-intensive on the controller system. Through the simulations conducted, it can therefore be concluded that a closed-loop controller containing an MPC control block adequately controls the drug infusion to a simulated patient.

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Paper Citation


in Harvard Style

Setati T., Perold W., Fourie P. and Withey D. (2022). Comparing Closed-loop Control of Drug Infusion using MPC and PID. In Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 1: BIODEVICES, ISBN 978-989-758-552-4, pages 126-133. DOI: 10.5220/0010783700003123


in Bibtex Style

@conference{biodevices22,
author={Tiro Setati and Willem Perold and Pieter Fourie and Daniel Withey},
title={Comparing Closed-loop Control of Drug Infusion using MPC and PID},
booktitle={Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 1: BIODEVICES,},
year={2022},
pages={126-133},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010783700003123},
isbn={978-989-758-552-4},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 1: BIODEVICES,
TI - Comparing Closed-loop Control of Drug Infusion using MPC and PID
SN - 978-989-758-552-4
AU - Setati T.
AU - Perold W.
AU - Fourie P.
AU - Withey D.
PY - 2022
SP - 126
EP - 133
DO - 10.5220/0010783700003123