Application of Adaptive Predictive Control to a Newborn Incubator
Problem statement: This study presents an application of Indirect Adaptive Generalized Predictive Control (IAGPC) of an incubator for newborn, in order to improve the performance of temperature control. Approach: Analysis of physical phenomena of incubator was involved together knowledge of the dynamic behavior. Incubator was identified by means of Recursive Least Square (RLS) technique associated with a projection of the model parameters for robust system identification. Results: Results showed that mathematical model of neonatal incubator predicted coincide with the measured data. A comparative study was made between ON-OFF, PID and IAGPC control in order to provide the performance of each strategy. Conclusion: Results had proved effectiveness of the IAGPC as a control of incubator system.
How to Cite
Zermani, M. A., Feki, E. & Mami, A. (2011). Application of Adaptive Predictive Control to a Newborn Incubator. American Journal of Engineering and Applied Sciences, 4(2), 235-243. https://doi.org/10.3844/ajeassp.2011.235.243
© 2020 Med Aymen Zermani, Elyes Feki and Abdelkader Mami. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
- Neonatal incubator
- Recursive Least Square (RLS)
- Generalized Predictive Control (IAGPC)
- transpidermal respiratory
- physical phenomena
- heating resistance
- Generalized Predictive Controller (GPC)