Application of Adaptive Predictive Control to a Newborn Incubator | Science Publications

American Journal of Engineering and Applied Sciences

Elyes Feki¹  Abdelkader Mami¹  Med A. Zermani¹ 

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

DOI  :  10.3844/ajeassp.2011.235.243

学科分类：工程和技术（综合）

来源: Science Publications

【 摘 要 】

Problem statement: This study presents an application of Indirect Adaptive GeneralizedPredictive Control (IAGPC) of an incubator for newborn, in order to improve the performance oftemperature control. Approach: Analysis of physical phenomena of incubator was involved togetherknowledge 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 themeasured data. A comparative study was made between ON-OFF, PID and IAGPC control in order toprovide the performance of each strategy. Conclusion: Results had proved effectiveness of the IAGPCas a control of incubator system.

【 授权许可】

Unknown