Blending Artificial Intelligence into PID Controller Design: A Biomedical Engineering Experiment

被引：8
|
作者：
de Moura Oliveira, P. B. [1 ,2 ]
Boaventura Cunha, J. [1 ,2 ]
机构：
[1] UTAD Univ Tras Os Montes & Alto Douro, Escola Ciencias & Tecnol, P-5000801 Vila Real, Portugal
[2] INESC TEC Technol & Sci, Campus FEUP, P-4200465 Oporto, Portugal
来源：
IFAC PAPERSONLINE | 2016年 / 49卷 / 06期
关键词：
PID Control; Artificial Intelligence; Particle Swarm Optimization; Biomedical Engineering; BLOOD-PRESSURE; OPTIMIZATION;
D O I：
10.1016/j.ifacol.2016.07.205
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A teaching experiment is proposed in which an artificial intelligence technique is blended with classical control techniques to design PID controllers. The artificial intelligence technique deployed is currently considered one of the most popular and successfully nature and biological inspired metaheuristics: the particle swarm optimization algorithm. The teaching experiment is proposed for an introductory undergraduate Biomedical Engineering feedback control systems course. The mean arterial pressure control, quite relevant in practical application terms, is revisited. Moreover, another biomedical control problem is proposed for teaching/learning purposes: the minimum temperature control for intracranial tumor treatment. Simulation results concerning both classic and artificial intelligence based techniques for PID controller design are presented. (C) 2016, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
引用
收藏
页码：366 / 371
页数：6
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