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Title |
Tuning PID using Particle Swarm Optimization For Controlling Temperature of The Infant-Incubator |
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Author |
Jihed El Hadj Ali , Elyes Feki and Abdelkader Mami |
| Citation |
Vol. 20 No. 3 pp. 174-182 |
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Abstract |
To guarantee the survival of each child since his birth, especially the preterm babies, we must focus on improving care around the specific newborn, this subject is very important and has big attention for the biomedical company. However, in the developing countries the expensive and high price of those devices (intensive unit care), creates a big challenge to ameliorate Due to suffering from the performance of the typical PID controller in the commercial infant incubator. The Particle Swarm Optimization (PSO) appears as a successful optimization tool. The main research of this paper is to investigate the use of the Particle Swarm Optimization techniques for tuning the gains of the PID of the heater inside the infant-incubator to minimizing the temperature inside the Care Unit. To achieve the performance of this model. Several Computer simulations and experimental results prove that the performance of the optimal PID using the PSO controller gives a superior performance than that of the traditional design methods of the conventional PID controller. For establishing the optimal PID controller the use of the four performances index (IAE, ISE, ITAE, and ITSE) as the objective function. |
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Keywords |
Infant-incubator, Particle Swarm Optimization, PSO, PID-Control, Temperature. |
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