Fuzzy logic control for infant-incubator systems

 
 
 
 

Fuzzy logic control for infant-incubator systems

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Title: Fuzzy logic control for infant-incubator systems
Author: Mathur, Garima
Description: Premature birth is a world wide problem. Neonates, who are born premature, often don’t have enough maturity to regulate their temperature. These infants have low metabolic heat production rate and may have high heat loss from the skin. Premature infants are kept in infant incubators which provide convective heating. There are two kinds of techniques available to control the incubator temperature. Currently either the incubator air temperature is sensed and used to control the heat flow, or infant’s skin temperature is sensed and used in the close loop control. Skin control often leads to large fluctuations in the incubator air temperature. Air control also leads to skin temperature fluctuations. The question remains if both the skin temperature and the air temperature can be simultaneously used in the control. The purpose of the present study was to address this question by developing a fuzzy logic control which incorporates both incubator air temperature and infant’s skin temperature. The temperature space was divided into a number of sub-domains. The crisp values of skin and air temperature were first fuzzified to obtain membership values which were then input to a rule base to obtain the output. This output was defuzzified to obtain a crisp value for the heat flow parameter. This fuzzy logic control system was evaluated using a mathematical model of the infant incubator system (Simon, Reddy, and Kantak, 1994). Simulation results revealed that fuzzy logic system, incorporating both skin and air temperatures, provide a smooth control when compared to either the air or skin control.
Permanent Link: http://rave.ohiolink.edu/etdc/view?acc_num=akron1153768682
http://hdl.handle.net/2374.OX/3894
Date: 2006

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