Control of a Thermoelectric Brain Cooler by Adaptive Neuro-Fuzzy Inference System

Instrumentation Science & Technology
Volume 36, Issue 6, 2008

Control of a Thermoelectric Brain Cooler by Adaptive Neuro-Fuzzy Inference System
R. Ahiska , A. H. Yavuz , M. Kaymaz  & İ. Güler

Abstract:

In this study, neuro-fuzzy control of a thermoelectric head cooler
system (thermoelectric helmet) is developed for brain hypothermia applications.
Hypothermia is a medical treatment method of protecting the brain, in which
the temperature of the brain drops below the critical level for reducing oxygen
consumption of tissues. The brain should be kept at a certain temperature by a
suitable control for hypothermia applications. The temperature of the thermoelectric
head cooler system changes according to the current intensity supplied.
The control of the thermoelectric head cooler system was performed according
to the initial membership functions, which was determined by an expert using
fuzzy logic control. The system was modeled by an adaptive neuro-fuzzy inference
system (ANFIS). The data were then entered into the system and new membership
functions were determined. By this way, learning ability of the artificial
neural network and the abilities of fuzzy logic, such as decision making, were
combined and a more effective solution was developed. The system software
can be reprogrammed with the new membership functions.

FannTool :

...
The data files obtained are shown in Table 4. An ANN model
(4 >2 >1) was projected with Fast Artificial Neural Network Tool
(FannTool version 0.60) by using this data file and has been trained. An
ANN trained was recorded and an interface unit was projected by using
C programming language (Figure 6).
...