Design of Type-1 and Interval Type-2 Fuzzy PID Control for Anesthesia Using Genetic Algorithms

作     者：Hugo Araujo Bo Xiao Chuang Liu Yanbin Zhao H. K. Lam 

作者机构：Department of Informatics King’s College London London UK 

出 版 物：《Journal of Intelligent Learning Systems and Applications》 (智能学习系统与应用（英文）)

年 卷 期：2014年第6卷第2期

页      码：70-93页

摘      要：This paper presents the automatic drug administration for the regulation of bispectral (BIS) index in the anesthesia process during the clinical surgery by controlling the concentration target of two drugs, namely, propofol and remifentanil. To realize the automatic drug administration, real clinical data are collected for 42 patients for the construction of patients’ models consisting of pharmacokinetic and pharmacodynamic models describing the dynamics reacting to the input drugs. A nominal anesthesia model is obtained by taking the average of 42 patients’ models for the design of control scheme. Three PID controllers are employed, namely linear PID controller, type-1 (T1) fuzzy PID controller and interval type-2 (IT2) fuzzy PID controller, to regulate the BIS index using the nominal patient’s model. The PID gains and membership functions are obtained using genetic algorithm (GA) by minimizing a cost function measuring the control performance. The best trained PID controllers are tested under different scenarios and compared in terms of control performance. Simulation results show that the IT2 fuzzy PID controller offers the best control strategy regulating the BIS index while the T1 fuzzy PID controller comes the second.

主 题 词：Anesthesia Propofol Remifentanil BIS PID Fuzzy Control Simulation Close-Loop 

学科分类：1002[医学-临床医学类] 100214[100214] 10[医学] 

D　O　I：10.4236/jilsa.2014.62007

馆 藏 号：203458099...