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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 8 Issue 6, 2017.
Abstract: The thermal environment surrounding preterm neonates in closed incubators is regulated via air temperature control mode. At present, these control modes do not take account of all the thermal parameters involved in a pattern of incubator such as the thermal parameters of preterm neonates (birth weight < 1000grams). The objective of this work is to design and validate a generalized predictive control (GPC) that takes into account the closed incubator model as well as the newborn premature model. Then, we implemented this control law on a DRAGER neonatal incubator with and without newborn using microcontroller card. Methods: The design of the predictive control law is based on a prediction model. The developed model allows us to take into account all the thermal exchanges (radioactive, conductive, convective and evaporative) and the various interactions between the environment of the incubator and the premature newborn. Results: The predictive control law and the simulation model developed in Matlab/Simulink environment make it possible to evaluate the quality of the mode of control of the air temperature to which newborn must be raised. The results of the simulation and implementation of the air temperature inside the incubator (with newborn and without newborn) prove the feasibility and effectiveness of the proposed GPC controller compared with a proportional–integral–derivative controller (PID controller).
E. Feki, M. A. Zermani and A. Mami, “GPC Temperature Control of A Simulation Model Infant-Incubator and Practice with Arduino Board” International Journal of Advanced Computer Science and Applications(IJACSA), 8(6), 2017. http://dx.doi.org/10.14569/IJACSA.2017.080607
@article{Feki2017,
title = {GPC Temperature Control of A Simulation Model Infant-Incubator and Practice with Arduino Board},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2017.080607},
url = {http://dx.doi.org/10.14569/IJACSA.2017.080607},
year = {2017},
publisher = {The Science and Information Organization},
volume = {8},
number = {6},
author = {E. Feki and M. A. Zermani and A. Mami}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.