Design of temperature controk system for baby incubator transport using PID FUZZY Method

Baby incubator transport is designed to keep the baby's body temperature in a stable condition while traveling, especially for babies who are born prematurely or have medical conditions that require proper temperature control. However, temperature fluctuations in baby incubator transport are often a problem that can affect the safety of the baby. to overcome this, the research proposes the design of a temperature control system on baby incubator transport using a combination of PID (Proportional-Integral-Derivative) and Fuzzy Logic methods. The PID method is used for precession temperature control, while Fuzzy Logic serves to dynamically adjust PID parameters to overcome non-linearity and system uncertainty. The test results show that the PID-fuzzy based temperature control system is able to maintain temperature stability with fast response and low overshot rate compared to conventional methods

Authors

Institutions

Publication Details

Journal
Jurnal Teknokes
Published
2025-04-15
DOI
https://doi.org/10.35882/23et0n29
Primary Topic
Advanced Control Systems Design
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Design of temperature controk system for baby incubator transport using PID FUZZY Method

Elshaday Sipul
Jurnal Teknokes
Advanced Control Systems Design
article

Design of temperature controk system for baby incubator transport using PID FUZZY Method

Elshaday Sipul
article en

Abstract

Baby incubator transport is designed to keep the baby's body temperature in a stable condition while traveling, especially for babies who are born prematurely or have medical conditions that require proper temperature control. However, temperature fluctuations in baby incubator transport are often a problem that can affect the safety of the baby. to overcome this, the research proposes the design of a temperature control system on baby incubator transport using a combination of PID (Proportional-Integral-Derivative) and Fuzzy Logic methods. The PID method is used for precession temperature control, while Fuzzy Logic serves to dynamically adjust PID parameters to overcome non-linearity and system uncertainty. The test results show that the PID-fuzzy based temperature control system is able to maintain temperature stability with fast response and low overshot rate compared to conventional methods

Jurnal TeknokesVol. 18(1)
Politeknik Kesehatan Kemenkes Semarang (ID), Eskom (South Africa) (ZA)
Openalex Percentile: Top 92%
Advanced Control Systems Design
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.