Controlling the Temperature of PID System-Based Baby Incubator to Reduction Overshoot

Irianto, Bambang Guruh; Maghfiroh, Anita Miftahul; Sofie, Moh; Kholiq, Abd; Musvika, Syevana Dita; Akbar, Dzulhij Aulia

doi:10.1007/978-981-99-0248-4_35

Cited by 2 publications

(2 citation statements)

References 21 publications

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“…The temperature in the baby incubator will also be displayed on the Nextion TFT along with a graph. The heater will turn off when the temperature is on the baby incubator approaches or fits the predetermined temperature and will start turning on again when the temperature in the baby incubator room falls below the temperature that has been determined using Fuzzy logic control [33]. In FIGURE 6 is the side part of the Incubator Transport module mechanism diagram.…”

Section: B Data Collectionmentioning

confidence: 99%

Fuzzy Logic Temperature Control on Baby Incubator Transport Battery Efficiency

Co'o,

Wisana,

Kholiq

2024

j.teknokes

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Baby incubator transport is a life support tool used to maintain the body temperature of newborn babies during transportation from one place to another, such as from a hospital to an intensive care center with more complete facilities. The problem that often occurs in transport incubators is limitations in the power system. Baby incubator transport uses a battery as the main power source. However, the limited battery power can cause risks to the baby if there is a problem with the power system or the battery runs out. This study aims to monitor the remaining battery voltage in a transport baby incubator that uses fuzzy logic to control the temperature inside and will compare with the performance of PID control. This research uses a fuzzy logic method to control temperature and maximize battery power. In this study, researchers only looked at the efficiency of the fuzzy logic method in temperature control and the battery that will be used. The research uses a display that will display the battery voltage and current values, battery power percentage, skin temperature, chamber temperature, humidity and the selected temperature control. The module that has been made is then compared with the Digital Multimeter measuring instrument. From the results of data collection, the measurement of the remaining battery voltage between the sensor reading and the measuring instrument has a difference where at a temperature of 34 ºC it is 2.1%, at a temperature of 35 ºC it is 2% and at a temperature of 36 ºC it is 3.9%. When compared to research using PID control, fuzzy logic takes longer to reach the desired temperature and demands more battery power when compared to PID control.

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Section: B Data Collectionmentioning

confidence: 99%

Fuzzy Logic Temperature Control on Baby Incubator Transport Battery Efficiency

Co'o,

Wisana,

Kholiq

2024

j.teknokes

View full text Add to dashboard Cite

show abstract

“…The design of the PID Control System can be seen in FIGURE 3. In the description of the figure, the temperature setting is used as input on the microcontroller with the PID system to control the heater, then after the temperature is stable the test is carried out by providing interference to test the PID system [27][28][29] [30].…”

Section: Batterymentioning

confidence: 99%

PID Temperature Control of Baby Incubator Transport Battery Efficiency

Vidaryanto,

Wisana,

Kholiq

et al. 2024

j.teknokes

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Transport baby incubators are used to keep babies warm and safe while in transport using battery voltage sources or DC electricity, which are portable and can be used without getting a supply of electrical energy. The problem that often occurs with this tool is the limited battery power system. causes a risk to the infant in the event of power failure or battery exhaustion. We aim to evaluate the battery efficiency of Baby Incubator Transport using a PID temperature controller. The evaluation is done by comparing and analyzing the battery voltage of the device to the standard device, as well as considering the setting temperature and duration of use of the device so that it can provide convenience in evacuating babies in an emergency. The tool uses the PID method to control temperature and maximize battery power. In this design, researchers only look at the efficiency of the PID method on temperature control and the battery to be used. This module will have a display that will display the battery voltage value, battery voltage percentage, skin temperature, chamber temperature, humidity, and temperature control that has been selected in the form of a graph. Compared with the digital multimeter measuring instrument. From the results of data collection, it can be concluded that the PID method has a faster rise time to reach the setting temperature, while the fuzzy method has a longer rise time to reach the setting temperature. However, the PID method requires more battery power than the Fuzzy method. The measurement results between the display and the measuring device have a difference of 3.1% at 34°C, at 35°C it is 3.9%, and at 36°C it is 4.7%. The biggest error is at a temperature of 36ºC, the smallest is at a temperature of 34ºC. Based on the results of the observation analysis of battery power consumption, it is found that the smaller the battery energy, the smaller the current issued, as well as the voltage issued. But if the load is large, the current is inversely proportional to the center, the battery voltage decreases while the current increases.

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Controlling the Temperature of PID System-Based Baby Incubator to Reduction Overshoot

Cited by 2 publications

References 21 publications

Fuzzy Logic Temperature Control on Baby Incubator Transport Battery Efficiency

Fuzzy Logic Temperature Control on Baby Incubator Transport Battery Efficiency

PID Temperature Control of Baby Incubator Transport Battery Efficiency

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