An Adaptive Generalized Predictive Control for Temperature and Humidity inside an Incubator |
Author(s): |
| T.S. Udhaya Suriya , ADHIYAMAAN COLLEGE OF ENGINEERING,HOSUR,INDIA; S. Hemalatha, ADHIYAMAAN COLLEGE OF ENGINEERING,HOSUR,INDIA; R. Monika, ADHIYAMAAN COLLEGE OF ENGINEERING,HOSUR,INDIA |
Keywords: |
| Cross Coupling, LMS, RLS |
Abstract |
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As the problem of birth defects, neonatal jaundice and Infant respiratory syndrome has been increased the design of Incubators came into existence. When the baby is kept inside an Incubator, the temperature and humidity level has to be regulated properly. Attempts were already made in the elimination of cross-coupling between temperature and humidity which resulted in 80% accuracy. With the help of RLS algorithm 95% accuracy can be achieved by controlling temperature and humidity by exploiting an active humidification system. In addition this paper presents an adaptive decoupling strategy in which the performance of LMS (Least-Mean Square) and RLS (Recursive Least Square) filters are compared. Also the development of lungs can be known by measuring the respiration rate of the neonate. |
Other Details |
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Paper ID: IJSRDV3I1388 Published in: Volume : 3, Issue : 1 Publication Date: 01/04/2015 Page(s): 645-647 |
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