文章基本信息

标题：Blending Artificial Intelligence into PID Controller Design: A Biomedical Engineering Experiment
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作者：P. B. de Moura Oliveira ; J. Boaventura Cunha
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2016
卷号：49
期号：6
页码：366-371
DOI：10.1016/j.ifacol.2016.07.205
语种：English
出版社：Elsevier
摘要：AbstractA 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.
关键词：KeywordsPID ControlArtificial IntelligenceParticle Swarm OptimizationBiomedical Engineering