TITLE:
Design of Type-1 and Interval Type-2 Fuzzy PID Control for Anesthesia Using Genetic Algorithms
AUTHORS:
Hugo Araujo, Bo Xiao, Chuang Liu, Yanbin Zhao, H. K. Lam
KEYWORDS:
Anesthesia, Propofol, Remifentanil, BIS, PID, Fuzzy, Control, Simulation, Close-Loop
JOURNAL NAME:
Journal of Intelligent Learning Systems and Applications,
Vol.6 No.2,
May
2,
2014
ABSTRACT:
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.