PID control of hypnotic induction in anaesthesia employing multiobjective optimization design procedures

被引：1

作者：

Kagami, Ricardo Massao ^{[1
]}

Franco, Renan Muniz ^{[2
]}

Reynoso-Meza, Gilberto ^{[1
]}

Freire, Roberto Zanetti ^{[1
]}

机构：

[1] Pontificia Univ Catolica Parana PUCPR, Ind & Syst Engn Grad Program PPGEPS, Curitiba, Parana, Brazil

[2] Univ Tecnol Fed Parana UTFPR, Dept Chem, Apucaranas Campus, Curitiba, Parana, Brazil

来源：

IFAC PAPERSONLINE | 2021年 / 54卷 / 15期

关键词：

Anaesthesia; controller tuning; multiobjective problem; multivariable control; PID controller; PROPOFOL; ALGORITHM; DEPTH;

D O I：

10.1016/j.ifacol.2021.10.227

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

General anaesthesia is a clinical procedure that involves the continuous monitoring of several parameters for the correct application of anaesthetics and associated drugs. Focusing on the automatic control in anaesthesia, this work presents a multiobjective optimization design of controllers based on the Non-dominated Sorting Genetic Algorithm II (NSGA-II) to solve the problem of drug delivery for induction of anaesthesia. Five Proportional-Integral-Derivative (PID) controllers in a decentralized scheme were tuned for one specific patient and tested in a total of 24 simulated patients. Acting over the infusions of Propofol, Remifentanil, Atracurium, Dobutamine, and Sodium Nitroprusside the proposed controllers could maintain the controlled variables in a safe range for surgical procedures. Copyright (C) 2021 The Authors.

引用

页码：31 / 36

页数：6

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