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

共 50 条

[21] Multiobjective Optimization Approach for Integrating Design and Control in Multicomponent Distillation Sequences
Antonio Vazquez-Castillo, Jose
Gabriel Segovia-Hernandez, Juan
Maria Ponce-Ortega, Jose
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2015, 54 (49) : 12320 - 12330
[22] ADAPTION OF FUZZY RULES BY DIFFERENT MULTI CRITERIA OPTIMIZATION PROCEDURES TO CONTROL STAGES OF ANAESTHESIA
Walther, Christian
Baumgart-Schmitt, Rudolf
Krautwald, Maria
Trommer, Daniel
ECT 2009: ELECTRICAL AND CONTROL TECHNOLOGIES, 2009, : 15 - 18
[23] Multiobjective PID control design in uncertain robotic systems using neural network elimination scheme
Tseng, CS
Chen, BS
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS, 2001, 31 (06): : 632 - 644
[24] Multiobjective Optimization of Three-Phase Induction Motor Design Based on Genetic Algorithm
Chun, Yon-Do
Han, Pil-Wan
Choi, Jae-Hak
Koo, Dae-Hyun
ICEM: 2008 INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES, VOLS 1- 4, 2009, : 1061 - 1064
[25] Weighting Factors Optimization of Predictive Torque Control of Induction Motor by Multiobjective Genetic Algorithm
Ubaldo Guazzelli, Paulo Roberto
de Andrade Pereira, William Cesar
Rodrigues de Oliveira, Carlos Matheus
de Castro, Allan Gregori
de Aguiar, Manoel Luis
IEEE TRANSACTIONS ON POWER ELECTRONICS, 2019, 34 (07) : 6628 - 6638
[26] Design and application study of optimization PID control with changing integration rate
Niu, Hongxia
Hou, Tao
INDUSTRIAL INSTRUMENTATION AND CONTROL SYSTEMS, PTS 1-4, 2013, 241-244 : 1205 - 1208
[27] PID control design for chaotic synchronization using a tribes optimization approach
Coelho, Leandro dos Santos
de Andrade Bernert, Diego Luis
CHAOS SOLITONS & FRACTALS, 2009, 42 (01) : 634 - 640
[28] Design of a Hybrid PID Plus Fuzzy Controller for Speed Control of Induction Motors
Ho, T. -J.
Yeh, L. -Y
ICIEA 2010: PROCEEDINGS OF THE 5TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS, VOL 3, 2010, : 195 - 200
[29] A mixed optimization approach to multiobjective computer-aided control system design
Whidborne, JF
Postlethwaite, I
Gu, DW
PROCEEDINGS OF THE 1996 IEEE INTERNATIONAL SYMPOSIUM ON COMPUTER-AIDED CONTROL SYSTEM DESIGN, 1996, : 309 - 314
[30] Integrated Pitch Control System Design of a Wind Turbine by Using Multiobjective Optimization
Gambier, Adrian
Behera, Anshu
IFAC PAPERSONLINE, 2018, 51 (28): : 239 - 244

← 1 2 3 4 5 →