Research Article Open Access

Application of Adaptive Predictive Control to a Newborn Incubator

  • Med Aymen Zermani
  • Elyes Feki
  • Abdelkader Mami

American Journal of Engineering and Applied Sciences
Volume 4 No. 2, 2011, 235-243
DOI: https://doi.org/10.3844/ajeassp.2011.235.243

Abstract

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

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Keywords

  • Neonatal incubator
  • temperature
  • identification
  • control
  • Recursive Least Square (RLS)
  • Generalized Predictive Control (IAGPC)
  • transpidermal respiratory
  • physical phenomena
  • heating resistance
  • Generalized Predictive Controller (GPC)