Application of Adaptive Predictive Control to a Newborn Incubator

Zermani,

doi:10.3844/ajeassp.2011.235.243

Cited by 13 publications

(13 citation statements)

References 13 publications

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“…Zermani dkk. [8] mengkaji penerapan indirect adaptive generalized predictive control (IAGPC) pada inkubator neonatal yang lebih efektif dalam mengatur temperatur daripada menggunakan on-off dan PID, namun detail perangkat keras dan mekanik inkubator yang digunakan tidak dijabarkan. Eneh dkk.…”

Section: Pendahuluanunclassified

Model and prototype of mobile incubator using PID controller based on Arduino Uno

Munadi

Pandu

Wiradinata

et al. 2020

Jurnal Teknologi dan Sistem Komputer

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One of the causes of the high infant mortality rate in Indonesia is the lack of health support facilities in remote areas, including incubators, to keep the baby's body warm at a specific temperature. This research develops a model and prototype of a mobile incubator to carry and maintain the baby's temperature during emergencies to get further treatment to hospitals that have better facilities than incomplete health clinic facilities. The mobile incubator prototype uses a PID controller system with the optimum gain value Kp 1.501, Ki 0.016, and Kd -1,319 from the results of modeling and tuning in Matlab. The results of the bode plot analysis show that system stability was achieved with a gain margin of 109 dB. The incubator's operational mobility can last up to 59.6 minutes with two 12 V, 5 Ah batteries.

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Section: Pendahuluanunclassified

Model and prototype of mobile incubator using PID controller based on Arduino Uno

Munadi

Pandu

Wiradinata

et al. 2020

Jurnal Teknologi dan Sistem Komputer

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“…In [8], the same authors developed an application of Indirect Adaptive Generalized Predictive Control compared with ON-OFF and PID controller. In the same year, they designed a new active system which is able to generate the control of humidity and carried out a comparative study between GA-PID and GA-MPC [9].…”

Section: Related Workmentioning

confidence: 99%

Dynamic Matrix Control DMC using the Tuning Procedure based on First Order Plus Dead Time for Infant-Incubator

Ali¹,

Feki²,

Mami³

2019

IJACSA

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The concept of Model Predictive Control (MPC) is considered as one of the most important controlling strategies. It is used in several fields, such as petrochemical, oil refinery, fertilizer and chemical plants. It is also well spread among the clinicians and in the biomedical fields. In this context, our paper aims to investigate the thermal conditions inside the infant incubator for premature babies. In this study, we propose the Dynamic Matrix Control (DMC) as a control strategy. The most particularity of this strategy is applicable to the Multi-input Multi-output (MIMO) systems. It aims to compare different coupled transfer functions achieved by two identification methods in previous work. Also, a simulation of the air temperature and humidity is achieved inside the unit care. In this work, we focus on the tuning controlling parameters because it is considered as a key step in the successful performance of (DMC). Then, to obtain the (DMC), we have used an analytic tool, which is the Process Reaction Curve (PRC), for higher order transfers function because it needs a lot of work for this purpose. It should be approximated as a low order transfer function with time delay, which is achieved by using the First Order Plus Dead Time (FOPDT) of processing models. Finally, the result of the comparison of the infant-incubator is provided to show an optimal and good performance of the thermal behavior of our propos methodology and prove that a good identification ensures a better performance.

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“…In this part, our aim is to describe the design strategy of the Adaptive Predictive Controller (AGPC) [12][13][14] for incubator system. The synthesis of the previous predictive control considers that the parameters of the process are fixed, but in reality this is not the case.…”

Section: Adaptive Controlmentioning

confidence: 99%

Decoupling Control Approach for Neonate Incubator System

Feki¹,

Zermani²,

Mami³

2012

IJCA

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This paper presents an adaptive decoupling temperature and humidity control for neonatal incubator process by exploiting an active humidification system. The neonatal incubator is a Two-Input Two-Output process (TITO) with characteristics of strong coupling and time variation. The coupling problem is treated by the weight adjustment of the output error to reduce the effect of coupling and to enhance control performance. In addition, an Adaptive Decoupling strategy based on Generalized Predictive Control (ADGPC) with Multivariable Recursive Extended Least-Squares (MVRELS) parameters estimator is used. The simulation and real results demonstrate that the decoupling by error dependent tuning of the weighting factor can eliminate the coupling influence with better control performance and can be easily generalized to the Multiple-Input -Multiple-Output (MIMO) systems.

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Application of Adaptive Predictive Control to a Newborn Incubator

Cited by 13 publications

References 13 publications

Model and prototype of mobile incubator using PID controller based on Arduino Uno

Model and prototype of mobile incubator using PID controller based on Arduino Uno

Dynamic Matrix Control DMC using the Tuning Procedure based on First Order Plus Dead Time for Infant-Incubator

Decoupling Control Approach for Neonate Incubator System

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