Automatic baby incubator system with fuzzy-PID controller

Abstract

Abstract Deaths due to temperature instability often occur in premature babies. Negligent handling of new-borns can pose a risk of temperature instability as well. Therefore, interventions to keep the baby’s body temperature warm can reduce the risk of infant death. An incubator is a box equipped with a temperature controller to maintain a baby’s average body temperature. The faster nursery controlled the heat, the quicker the handling of the baby from the risk of temperature instability. This research aims to design a baby incubator that has an automatic control system for working temperatures quickly. The method to be used is Fuzzy-PID control, which functions to maintain temperature stability and accelerate the system’s response to the incubator. The temperature in the nursery is measured using a DHT22 sensor. The temperature measured from the sensor use error and delta error as input parameters in the design of the fuzzy membership set. The heater used in this study is an incandescent lamp to produce heat that is safe for babies. An experiment was carried out by comparing the PID control to determine the speed of the system response. Besides, measurements to assess the stability of the controller are also carried out by analyzing the effect of the load on temperature variations. The test results show a faster system response compared to the PID control and stability at a temperature set point of 32 ° C, 33 ° C, 34 ° C and 35 ° C. The time needed to achieve balance at the highest temperature of set points is 205 seconds with a max overshoot of 0.5%. With the max overshoot, the incubator can still work at a temperature that is safe for babies.